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validate_docs

Validate documentation against team policy by checking required files, filled placeholders, section headings, and list item counts. Returns pass/warn/fail status per file.

Instructions

Validate the current project's documentation against the team policy defined in policy.toml.

Use this tool when the user asks to check doc quality, run a policy check, or verify docs before a release. It is read-only and does not modify any files.

Checks performed:

  • Required files exist

  • Template placeholders (e.g. TODO, FIXME) have been filled in

  • Required section headings are present

  • Lists meet minimum item counts defined in policy

Returns a pass/warn/fail status per file with specific details about each violation. If no policy.toml exists, returns a message indicating policy is not configured. Use configure_project or init_project to set up policy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Despite no annotations, description discloses read-only nature, checks performed, and fallback behavior for missing policy. Only minor omission is potential scope of doc scanning, but overall transparent.

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

Conciseness4/5

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

Description is structured front-loaded with purpose and usage, then detailed checks and return. Sentences are efficient, though slightly verbose but not excessive.

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

Completeness4/5

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

Given no output schema and no annotations, description covers key aspects: purpose, usage, checks, and return format. Slight gap in exact output structure, but sufficient for agent understanding.

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?

Input schema has no parameters (0 params), so baseline is 4. Description adds context about validation without needing parameter details.

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 verb 'validate' and the resource 'current project's documentation against policy.toml'. It distinguishes from siblings like lint_project by emphasizing policy compliance checks.

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

Usage Guidelines5/5

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

Explicitly says when to use: 'user asks to check doc quality, run a policy check, or verify docs before a release'. Also advises use of configure_project if policy missing, providing clear guidance.

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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