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F5 Troubleshoot

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automateyournetwork
f5-troubleshoot

F5 BIG-IP troubleshooting - virtual server failures, pool member health, connection issues, SSL/TLS problems, iRule errors, persistence issues, and performance degradation. Use for an active incident: a VIP is not responding, pool members are marked down, users report SSL errors, the application is slow, or iRule TCL errors appear in logs. For routine/periodic health monitoring with no active incident, use `f5-health-check` instead.

Overview

Publisherautomateyournetwork
Repositorynetclaw
Skill namef5-troubleshoot
Stars
680
Forks
189
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by automateyournetwork on GitHub. Read the source before you install it.

Installation

Install the F5 Troubleshoot AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/f5-troubleshoot
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/workspace/skills/f5-troubleshoot .claude/skills/f5-troubleshoot
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable F5 Troubleshoot in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads F5 Troubleshoot on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so F5 Troubleshoot is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

F5 BIG-IP Troubleshooting

Troubleshooting Principles

  1. Define the problem -- What exactly is broken? Who reported it? What is the expected vs actual behavior?
  2. Gather facts -- List objects, check stats, read logs. Never assume.
  3. Consider possibilities -- Based on facts, list likely root causes
  4. Create action plan -- Test one variable at a time
  5. Implement and verify -- Make one change, verify, document
  6. Document -- Record what was found and what fixed it

How to Call the Tools

The F5 MCP server provides 6 tools. Call them via mcp-call with the required environment variables:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" <tool_name> '{"param":"value"}'

Available Tools for Troubleshooting

ToolPurposeWhen to Use
list_toolList and inspect object configurationVerify config is correct
show_stats_toolShow live statistics and countersIdentify traffic flow issues
show_logs_toolShow system logsFind errors and event correlation
update_toolModify object configurationApply fixes
create_toolCreate new objectsAdd missing objects
delete_toolRemove objectsRemove problematic objects

Symptom: "Virtual Server Not Responding to Clients"

Clients report they cannot connect to the application VIP.

Step 1: Verify Virtual Server Exists and Is Enabled

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"vs_webapp_https","object_type":"virtual"}'

Check:

  • Does the virtual server exist? If not, it was deleted or never created.
  • Is it enabled: true? If disabled, someone took it out of service.
  • Is the destination (VIP:port) correct?
  • Is a pool assigned?
  • Is sourceAddressTranslation configured? (Without SNAT/automap, return traffic may bypass the BIG-IP.)

Decision tree:

  • VS does not exist -> Recreate it (use f5-config-mgmt skill)
  • VS is disabled -> Re-enable: update_tool with {"enabled":true}
  • VS has no pool -> Assign pool: update_tool with {"pool":"pool_name"}
  • VS has no SNAT -> Check if servers have BIG-IP as default gateway; if not, add automap

Step 2: Check Virtual Server Statistics

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"vs_webapp_https","object_type":"virtual"}'

Analyze:

MetricHealthy IndicatorProblem Indicator
Status availabilityavailableoffline or unknown
Current connections> 0 during business hours0 on production VIP
Total connectionsIncrementingFlat or zero
Client-side bits in> 0Zero (no client traffic arriving)
Server-side bits out> 0Zero (no traffic reaching backend)
Client bits in, server bits out = 0-VIP not processing traffic at all
Client bits in > 0, server bits out = 0-Traffic arriving but not forwarded to pool

If status is offline: The virtual server is marked down because the associated pool has no available members. Proceed to Step 3.

If current connections = 0 but status is available: The VIP is healthy but no clients are connecting. The issue is upstream of the BIG-IP:

  • DNS not resolving to the VIP address
  • Firewall blocking traffic to the VIP
  • Client network routing issue
  • VIP is on wrong VLAN/subnet

Step 3: Check the Associated Pool

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"pool_webapp","object_type":"pool"}'
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"pool_webapp","object_type":"pool"}'

Check:

  • Are any members available? If all members are offline, the pool is down.
  • What monitor is assigned? Is it appropriate for the service?
  • Are members enabled or disabled? Disabled members were intentionally drained.
  • What is the member-to-connection distribution? Is one member handling all traffic?

If all members are offline -> Go to "Pool Member Marked Down" section below.

Step 4: Check Logs for Errors

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"200"}'

Scan for:

  • 01010028 -- No members available in pool (confirms pool down)
  • 01010025 -- Connection limit reached on virtual server
  • 0107142f -- SSL handshake failure
  • 01070417 -- HTTP parse error
  • 01010240 -- Connection queue full
  • Timestamps correlating with the reported outage

Step 5: Check Profiles and iRules

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"profile"}'
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"irule"}'

Check:

  • Is the correct SSL profile assigned for HTTPS virtual servers?
  • Is the HTTP profile assigned when HTTP inspection is needed?
  • Are any iRules rejecting or redirecting traffic incorrectly?
  • Is a persistence profile causing traffic to stick to a down member?

Symptom: "Pool Member Marked Down"

Health monitor is marking one or more pool members as offline.

Step 1: Identify Which Members Are Down

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"pool_webapp","object_type":"pool"}'

Record: Which members are offline, which are available, which are disabled.

Step 2: Check Pool Statistics for the Down Member

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"pool_webapp","object_type":"pool"}'

Analyze:

  • When did the member go down? (Check stats timestamps)
  • Was there a gradual decline or sudden failure?
  • Are connections draining from the down member?

Step 3: Check Logs for Monitor Failure Details

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"500"}'

Scan for these patterns:

Log MessageMeaningCommon Cause
01071681 Pool member ... monitor status downHealth check failedServer not responding
01071682 Pool member ... monitor status upHealth check recoveredServer came back
01010028 No members availableAll members downTotal pool failure
FQDN ... cannot be resolvedDNS resolution failureDNS issue for FQDN pool members
monitor ... instance ... timed outMonitor timeoutServer too slow or unreachable

Common root causes for pool member down:

  1. Server is actually down -- The application crashed, the OS is down, or the server was rebooted
  2. Network path issue -- Firewall between BIG-IP and server blocking health check traffic, or routing issue on server VLAN
  3. Monitor mismatch -- HTTP monitor expecting 200 but application returns 301/302 redirect
  4. Monitor URI wrong -- Health check URI returns 404 because the page does not exist
  5. Port mismatch -- Monitor checking wrong port (e.g., monitor on 80 but server on 8080)
  6. SSL mismatch -- HTTP monitor used but server requires HTTPS (or vice versa)
  7. Response timeout -- Server responds but too slowly for the monitor interval/timeout
  8. Receive string mismatch -- Monitor expects specific string in response that changed after app deployment
  9. Source IP issue -- Server firewall blocking the BIG-IP self-IP used for health checks

Step 4: Verify Monitor Configuration

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"pool_webapp","object_type":"pool"}'

From the pool config, identify the monitor name and verify:

  • Type: HTTP, HTTPS, TCP, ICMP, or custom
  • Interval/timeout: Is the timeout shorter than the interval? (Must be: timeout < interval * 3+1 for 3 failures)
  • Send string: What request is sent? (e.g., GET /health HTTP/1.1\r\nHost: app.example.com\r\n\r\n)
  • Receive string: What response is expected? (e.g., 200 OK or healthy)
  • Destination: Is it *:* (use member address:port) or a specific IP:port?

Step 5: Remediation

If the server is healthy but the monitor is wrong, fix the monitor:

Update the pool with a correct monitor:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"monitor":"tcp"},"object_type":"pool","object_name":"pool_webapp"}'

If a member needs to be temporarily removed (graceful drain):

Update the pool without the problematic member:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"members":["10.1.1.10:80","10.1.1.11:80"]},"object_type":"pool","object_name":"pool_webapp"}'

WARNING: This removes the member entirely. Existing connections will be terminated. For graceful drain, disable the member instead if the API supports it.

If a replacement member needs to be added:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"members":["10.1.1.10:80","10.1.1.11:80","10.1.1.14:80"]},"object_type":"pool","object_name":"pool_webapp"}'

Symptom: "Connection Limits / Persistence Issues"

Users report intermittent connectivity, session drops, or being load-balanced to a different server mid-session.

Step 1: Check Virtual Server Connection Statistics

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"vs_webapp_https","object_type":"virtual"}'

Check for connection limit issues:

  • Is connectionLimit set and being reached?
  • Are clientsideCurConns near the limit?
  • Is the connection queue filling up? (Check logs for 01010240)

If connection limit is being hit:

Either increase the limit or scale out with additional pool members:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"connectionLimit":0},"object_type":"virtual","object_name":"vs_webapp_https"}'

Setting connectionLimit to 0 removes the limit entirely.

Step 2: Check Persistence Configuration

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"vs_webapp_https","object_type":"virtual"}'

Persistence troubleshooting:

IssueSymptomResolution
No persistence configuredUsers lose session on every requestAdd cookie or source-addr persistence
Source-addr persistence with SNATAll users from same SNAT IP go to same memberSwitch to cookie persistence
Cookie persistence but app on HTTPPersistence cookie not insertedEnsure HTTP profile is assigned
Persistence timeout too shortUsers lose session during idleIncrease persistence timeout
Persistence timeout too longSessions stick to drained memberLower timeout or use cookie
Fallback persistence not setWhen primary persistence fails, connections randomizeSet fallback persistence

Step 3: Check Pool Member Connection Distribution

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"pool_webapp","object_type":"pool"}'

If one member has vastly more connections than others:

  • Persistence is sticking too many sessions to one member
  • Consider changing from source-address to cookie persistence
  • Consider changing load balancing method from round-robin to least-connections

Step 4: Check Logs for Connection Errors

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"300"}'

Scan for:

  • 01010025 -- Connection limit reached
  • 01010240 -- Connection queue full
  • 01060102 -- Rate limit reached
  • TCL error -- iRule causing connection drops
  • reset cause -- Connection resets (RST) from server or BIG-IP

Symptom: "SSL/TLS Certificate Problems"

Users see certificate warnings, SSL handshake failures, or HTTPS connections fail entirely.

Step 1: Check SSL Profile Configuration

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"profile"}'

Check the SSL client profile assigned to the virtual server:

  • Is a client SSL profile assigned? (Required for HTTPS VIPs)
  • Which certificate and key are referenced?
  • What TLS versions are enabled? (TLS 1.2 and 1.3 should be enabled; TLS 1.0 and 1.1 should be disabled)
  • What cipher suites are configured?

Common SSL issues:

IssueSymptomLog Pattern
Expired certificateBrowser shows "Not Secure"0107142f SSL handshake failed
Wrong certificate (hostname mismatch)Browser shows certificate warningClient disconnects after handshake
Missing intermediate CAWorks in some browsers, fails in others0107143c certificate verification failed
Weak cipher suite onlyModern browsers refuse to connect0107142f with no common cipher
TLS version mismatchClient can't negotiate0107142f protocol version
Client cert required but not sentConnection refused01071065 peer did not return certificate
SNI misconfigurationWrong cert served for hostnameClient sees cert for different domain

Step 2: Check Virtual Server for SSL Profile

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"vs_webapp_https","object_type":"virtual"}'

Verify the correct SSL profile is assigned in the profiles list with context: clientside.

Step 3: Check Logs for SSL Errors

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"300"}'

Key SSL log messages:

Log CodeMeaningAction
0107142fSSL handshake failureCheck cipher/version/cert compatibility
0107143cCertificate verification failureCheck cert chain completeness
01071065Peer certificate missingClient cert auth configured but client has no cert
01070417HTTP request on HTTPS portClient sending plain HTTP to SSL VIP
SSL routines:ssl3_read_bytes:sslv3 alertSSL alert received from peerVersion/cipher mismatch

Step 4: Remediation

Update SSL profile ciphers to modern standards:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"ciphers":"TLSv1.2:TLSv1.3:!SSLv3:!RC4:!3DES:!EXPORT"},"object_type":"profile","object_name":"clientssl_webapp"}'

Assign the correct SSL profile to a virtual server:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"profiles":[{"name":"clientssl_webapp","context":"clientside"},{"name":"http"},{"name":"tcp-wan-optimized","context":"clientside"},{"name":"tcp-lan-optimized","context":"serverside"}]},"object_type":"virtual","object_name":"vs_webapp_https"}'

WARNING: The profiles list is a full replacement. Include ALL desired profiles.


Symptom: "iRule Errors in Logs"

Logs show TCL errors or iRule-related failures.

Step 1: Pull Recent Logs

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"500"}'

Scan for iRule error patterns:

PatternMeaningCommon Cause
TCL errorTcl script runtime errorSyntax error, undefined variable, missing command
can't read "variable"Variable not definedVariable used before assignment or in wrong event
command not foundInvalid Tcl or iRule commandTypo or deprecated command
HTTP::collect without HTTP::releasePayload collection started but never releasedMissing release in all code paths (memory leak)
invalid command name "pool"Pool command in wrong eventpool used outside HTTP_REQUEST event
too many re-entering callsRecursive iRule invocationiRule triggering itself
exceeded CPU time limitiRule taking too longComplex regex or infinite loop
abortiRule explicitly abortedError condition in catch block

Step 2: Identify the Problematic iRule

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"irule"}'

Cross-reference the iRule name from the log error with the iRule inventory. Check which virtual servers have this iRule assigned.

Step 3: Review iRule Content

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"problematic_irule","object_type":"irule"}'

Common iRule bugs to check for:

  • Variables used across events without being set in all code paths
  • HTTP::collect without corresponding HTTP::release in all branches
  • Missing default case in switch statements
  • Regex patterns that can cause catastrophic backtracking
  • log statements in high-traffic events (performance issue, not error)
  • String operations on binary data
  • Missing error handling (catch) around operations that can fail

Step 4: Fix the iRule

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"apiAnonymous":"when HTTP_REQUEST {\n  catch {\n    switch -glob [string tolower [HTTP::uri]] {\n      \"/api/*\" { pool pool_api_backend }\n      default { pool pool_webapp }\n    }\n  } err {\n    log local0. \"iRule error: $err\"\n    pool pool_webapp\n  }\n}"},"object_type":"irule","object_name":"uri_routing"}'

Alternatively, if the iRule is causing critical failures, remove it from the virtual server immediately:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"rules":[]},"object_type":"virtual","object_name":"vs_webapp_https"}'

This removes all iRules from the virtual server. Traffic will flow to the default pool without any iRule processing. Fix the iRule, then re-attach it.


Symptom: "Performance Degradation"

Application is slow, high latency, or throughput has dropped.

Step 1: Check Virtual Server Statistics

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"vs_webapp_https","object_type":"virtual"}'

Look for:

  • Connection count near the limit -> Bottleneck at the VIP
  • High bits/sec relative to interface capacity -> Bandwidth saturation
  • Connection rate spike -> Possible DDoS or legitimate traffic surge
  • Asymmetric traffic (high client-side, low server-side) -> Backend not keeping up

Step 2: Check Pool Member Distribution

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_stats_tool '{"object_name":"pool_webapp","object_type":"pool"}'

Look for:

  • Uneven connection distribution -> Some members overloaded, others idle
  • Single member with most connections -> Persistence issue or members down
  • All members at high connection count -> Need more backend capacity
  • High server-side connection time -> Backend application slow

If distribution is uneven, consider changing load balancing:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"loadBalancingMode":"least-connections-member"},"object_type":"pool","object_name":"pool_webapp"}'

Step 3: Check for Pool Members Down (Reduced Capacity)

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"pool_webapp","object_type":"pool"}'

If members are down, the remaining members are handling more traffic than designed. This is the most common cause of "slow application" reports -- not a BIG-IP issue but a capacity issue.

Step 4: Check System Logs for Errors

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"500"}'

Performance-related log patterns:

PatternMeaningAction
01010025Connection limit reachedIncrease limit or add capacity
01010240Connection queue fullIncrease queue depth or backend capacity
01060102Rate limit reachedReview rate limiting config
01070727Pool member rate limitMember receiving too much traffic
memoryBIG-IP memory pressureCheck for memory leaks, iRule issues
disk_usageBIG-IP disk pressureCheck for log rotation issues
tmm_semaphoreTMM (Traffic Management Microkernel) contentionBIG-IP itself is overloaded
aggressive_modeMemory aggressive mode enabledBIG-IP is under severe memory pressure

Step 5: Check iRules for Performance Impact

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"irule"}'

iRule performance killers:

  • log statements on every request -> Disk I/O bottleneck
  • Complex regex matching -> CPU overhead
  • HTTP::collect large payloads -> Memory consumption
  • DNS::lookup in data path -> Blocking operation, adds latency
  • Multiple iRules with same events -> Event processing overhead
  • persist uie with large strings -> Persistence table bloat

Step 6: Scale Out (If Root Cause Is Capacity)

If the root cause is insufficient backend capacity, add more pool members:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" update_tool '{"url_body":{"members":["10.1.1.10:80","10.1.1.11:80","10.1.1.12:80","10.1.1.13:80","10.1.1.14:80"]},"object_type":"pool","object_name":"pool_webapp"}'

WARNING: Members list is a full replacement. Include ALL desired members (existing + new).


Symptom: "HA Failover or Sync Issues"

Logs indicate high-availability state changes, failover events, or configuration sync failures.

Step 1: Check System Logs for HA Events

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" show_logs_tool '{"lines_number":"500"}'

HA-related log patterns:

PatternSeverityMeaning
ha_status active -> standbyCRITICALThis unit has gone standby -- failover occurred
ha_status standby -> activeCRITICALThis unit has become active -- peer failed
failoverCRITICALFailover event in progress
config_sync failedHIGHConfiguration not synchronizing between peers
device_trustHIGHDevice trust certificate issue
heartbeat lostCRITICALHA heartbeat lost -- peer may be down
network_failoverCRITICALNetwork-based failover triggered

Step 2: Verify Object State After Failover

After any failover event, immediately verify all virtual servers and pools:

bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"virtual"}'
bash
IP_ADDRESS=$F5_IP_ADDRESS Authorization_string=$F5_AUTH_STRING python3 $MCP_CALL "python3 -u $F5_MCP_SCRIPT" list_tool '{"object_name":"","object_type":"pool"}'

Confirm all virtual servers are available and all pool members are healthy on the now-active unit.


Common F5 Error Code Quick Reference

CodeSeverityMeaningFirst Action
01010025HIGHVS connection limit reachedCheck stats, increase limit
01010028CRITICALNo pool members availableCheck pool health
01010029CRITICALPool member monitor downCheck member + monitor
01010240HIGHConnection queue fullCheck capacity
01060102HIGHRate limit reachedReview rate config
0107142fCRITICALSSL handshake failureCheck cert + ciphers
01070417HIGHHTTP parse errorCheck client requests
0107143cWARNINGCert verification failCheck cert chain
01071681WARNINGPool member marked downCheck member health
01071682INFOPool member marked upRecovery event
01070727WARNINGMember rate limitCheck distribution
TCL errorHIGHiRule errorCheck iRule code

Troubleshooting Decision Flowchart

Client reports application down
|
+-> Check VIP status (list_tool + show_stats_tool virtual)
    |
    +-> VIP offline?
    |   +-> Check pool (list_tool + show_stats_tool pool)
    |       +-> All members down? -> Check servers + monitors
    |       +-> Some members down? -> Reduced capacity, check remaining
    |       +-> No pool assigned? -> Assign pool (update_tool)
    |
    +-> VIP available but 0 connections?
    |   +-> DNS, firewall, or routing issue upstream of BIG-IP
    |
    +-> VIP available, connections present, but errors?
        +-> Check logs (show_logs_tool)
        +-> SSL errors? -> Check profiles + certs
        +-> HTTP errors? -> Check iRules + backend health
        +-> Connection limits? -> Scale out or increase limits

Integration with Other Skills

SkillIntegration Point
f5-health-checkRun health check first to scope the problem
f5-config-mgmtApply fixes using proper change workflow
servicenow-change-workflowCreate incident tickets for CRITICAL findings
drawio-diagramVisualize traffic flow for complex troubleshooting
markmap-vizCreate troubleshooting decision trees

GAIT Audit Trail

After completing a troubleshooting session, record findings and resolution in GAIT:

bash
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_record_turn '{"artifacts":["f5-troubleshoot-report.txt"],"user_text":"F5 troubleshoot: vs_webapp_https not responding to clients","assistant_text":"Investigation: VIP status offline due to pool_webapp all members down. Root cause: HTTP health monitor expecting 200 but app returning 301 redirect after deployment. Fix: updated monitor receive string to accept 301. Verification: all 3 pool members now available, VIP status available, client connections incrementing. Logs clear of 01010028 errors."}'

Audit examples are illustrative. Replace their request and outcomes with observed session evidence; inspect MCP isError, returned ok and recorded GAIT text.

Frequently asked questions

What does the F5 Troubleshoot AI skill do?

F5 BIG-IP troubleshooting - virtual server failures, pool member health, connection issues, SSL/TLS problems, iRule errors, persistence issues, and performance degradation. Use for an active incident: a VIP is not responding, pool members are marked down, users report SSL errors, the application is slow, or iRule TCL errors appear in logs. For routine/periodic health monitoring with no active incident, use `f5-health-check` instead.

Why use F5 Troubleshoot on TypingMind?

Because you install it once and use it with any model. F5 Troubleshoot is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install F5 Troubleshoot in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/f5-troubleshoot. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use F5 Troubleshoot?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with F5 Troubleshoot?

As many as you like. As long as a model supports skills, you can use F5 Troubleshoot with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the F5 Troubleshoot AI skill free?

Yes. It is published on GitHub by automateyournetwork under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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