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Datos e investigación · SKILL.md

diagnose-tool-failure

diagnose-tool-failure

Pre-classify an agent-tool failure (env, auth, quota, code, data, unknown) before retrying or filing a bug, so the resulting report has a useful hypothesis and the right next step.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentación de la Skill

GitHub

name: diagnose-tool-failure description: "Pre-classify an agent-tool failure (env, auth, quota, code, data, unknown) before retrying or filing a bug, so the resulting report has a useful hypothesis and the right next step."

Diagnose tool failure

Before retrying or filing an incident with report_incident, classify the failure in one of these buckets and pick the matching next step.

1. Environment / infrastructure

Signals

  • Timed out after <N>ms on agent_filesystem_* / agent_terminal_run / agent_coding_run.
  • ENV_STARTUP_FAILED, "image not found", "container exited", "no space left on device".
  • Sandbox starts but commands return command not found for tools that should be preinstalled.

Action

  • Do not keep retrying — the sandbox is the bottleneck.
  • Call report_incident with hypothesis: "env".
  • Suggested next step in the description: "platform team to retry image pull / increase container start timeout".

2. Auth / integration

Signals

  • AUTH_MISSING, INTEGRATION_DISABLED, 401 / 403 from integration calls.
  • Tool says " is not connected".

Action

  • If the user is in the loop: tell them which integration to (re)connect; do not file an incident.
  • If you are running in a dispatched task with no user available: call report_incident with hypothesis: "auth" and route to the integration owner. Do not block work that does not need that service.

3. Quota / rate limit

Signals

  • 429, "rate limit", "quota exceeded", RESOURCE_EXHAUSTED.

Action

  • Back off (exponential), retry once after the suggested delay.
  • If still failing, call report_incident with hypothesis: "quota" and propose the limit / plan that needs raising.

4. Code / schema defect

Signals

  • Tool input rejected with "unknown property", "validation failed", or response shape does not match the documented schema.
  • Same tool call passes for one input and fails for a near-identical input you can articulate.

Action

  • Capture the smallest failing input via reproducible-bug.
  • Call report_incident with hypothesis: "code" and attach the minimal repro.

5. Data drift

Signals

  • Tool succeeds technically but the result is empty / nonsensical for an input that worked before.
  • Search / RAG tools return zero hits for queries that historically returned results.

Action

  • Re-run with a known-good input to confirm the tool itself works.
  • Call report_incident with hypothesis: "data" if confirmed.

6. Unknown

Signals — None of the above clearly fits.

Action — Do not invent a hypothesis. Call report_incident with hypothesis: "unknown" and include the raw error verbatim.

Output for the reporter

After diagnosis, hand self-report-agent-issue the following so it can populate the report_incident payload cleanly:

  • Hypothesis bucket (one of the six above)
  • Smallest reliable repro (params + response)
  • Whether the failure is blocking
  • Whether retry is worth attempting on the platform side
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