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Debug Mcp Agent

skill-sailingnaturali-claude-skills-debug-mcp-agent · by sailingnaturali

Use when an AI agent backed by MCP servers or tools misbehaves — claims data is missing/unavailable, returns 404s or "server unreachable", gives plausible-but-wrong answers, queries the wrong path, or leaks chain-of-thought / control tokens. Probe ground truth before trusting the agent's account of itself.

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Install

$ agentstack add skill-sailingnaturali-claude-skills-debug-mcp-agent

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Debug an MCP / tool-backed agent

The agent's own narration of what went wrong is often the bug. Probe ground truth directly, out of band, before trusting anything the agent said.

1. Ground truth — query the source directly, bypass the agent

Hit the underlying API / DB / tool yourself (curl, the CLI, a direct query) for the exact thing the agent claimed was missing.

  • Data is there → the failure is in the MCP/tool/agent layer, not the source.
  • Genuinely absent (404 / empty) → that's "not available," not an error. Agents and

MCP clients routinely conflate the two; a burst of 404s can even trip a client's circuit breaker and swallow valid reads afterward.

  • Connection refused / unreachable → the source or the MCP process is down — not a missing

field. Confirm the process/container is up; restart it.

2. Which model is driving?

Confirm the configured model is the one you expect. A weaker or local model silently swapped in is a common root cause of: leaked chain-of-thought, leaked control tokens, skipped tool calls, replies truncated mid-sentence, and confident confabulation about things it can't see.

3. The tool / MCP layer

  • "MCP server X unreachable after N attempts" = the MCP process or its backing service

died mid-conversation — not a missing path. Different fix than "data absent."

  • Wrong path / argument guessed (e.g. sensors.depth vs the real

environment.depth.belowTransducer): the agent is inventing the schema. Ground the real shape in the prompt, or give it a list/describe tool so it stops guessing identifiers.

  • Auth, not absence: a 401/403 on a write or a privileged/admin route is a permissions

problem, not missing data — check the token's scope, not the data.

4. Plausible-but-wrong values

If the numbers look reasonable but are wrong, suspect a mock / fixture / sandbox data source rather than a logic bug — confirm which environment the agent is actually pointed at.

Close out

A new root cause is a reusable lesson — write it into a lessons doc or runbook so the next person doesn't re-derive it. The single highest-leverage habit when an agent misbehaves: never trust its self-report; reproduce against ground truth first.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.