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metis_doctor

Run a comprehensive health check on your Metis environment, verifying Python version, database, API key, config, and folder hygiene. Diagnose issues before publishing or after updates.

Instructions

Run a one-screen health check on Metis.

Verifies Python version, the SQLite database, the Anthropic API key, your
user-config.yaml, agent and skill folders, folder-rename hygiene, MCP
imports, and that `.env` is gitignored. Returns a structured report so the
dashboard or a CLI session can render it cleanly.

Use when:
  - Something feels broken and you want a single command to triage.
  - Just before publishing the repo, to catch hygiene issues.
  - After a `git pull`, to confirm nothing regressed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It describes the checks performed and that it returns a structured report, but doesn't state that the tool is read-only or non-destructive, nor does it mention any side effects or authorization requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three concise, front-loaded sentences cover purpose, checks, and usage. Every sentence adds value with no redundancy. Well-structured for an AI agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and an existing output schema, the description fully covers what the tool does and when to use it. No gaps identified for a health check tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and schema coverage is 100% (no params to describe). The description adds value by listing what the health check verifies, which indirectly covers the expected output fields, earning a baseline of 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Run a one-screen health check on Metis.' It lists specific components verified (Python version, SQLite, API key, etc.), distinguishing it from sibling tools, none of which are health check tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'Use when:' section provides explicit scenarios: troubleshooting, pre-publishing, and post-pull verification. While it doesn't mention when not to use or alternatives, the guidance is contextually clear and actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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