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write_setup_doc

Create setup, deployment, or infrastructure documentation. Features automatic indexing and git push for version-controlled records.

Instructions

Create a setup, deployment, or infrastructure document, index it, and auto-push.

    Side effects: creates setup/{slug}.md in the docs path, indexes it
    into the vector store, and pushes to git if configured. Overwrites
    an existing file with the same title.

    Use for environment setup guides, CI/CD configuration, Docker or
    infrastructure docs, and deployment runbooks.
    Use write_architecture_doc() for system design rather than how-to guides.

    Args:
        title: Short title (e.g. "Local Development Setup")
        prerequisites: Tools, accounts, or config required before starting
        steps: Step-by-step instructions (numbered list recommended)
        verification: How to confirm the setup is working correctly
        troubleshooting: Common issues and their fixes (optional)
        project: Target project name (optional)

    Returns:
        Saved filename, chunk count, and whether auto-push succeeded.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
prerequisitesYes
stepsYes
verificationYes
troubleshootingNo
projectNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Despite no annotations, the description clearly discloses side effects: creates setup/{slug}.md, indexes into vector store, pushes to git if configured, and overwrites existing files. It does not mention auth or failure modes, but the disclosed behaviors are sufficient for safe use.

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?

The description is well-structured with a clear front-loaded purpose, followed by side effects, usage, alternative, and parameter details. It is informative but slightly lengthy; every sentence earns its place, though minor trimming could improve conciseness.

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?

The description covers purpose, side effects, usage scenarios, sibling differentiation, detailed parameter explanations, and return value summary. Given the tool's 6 parameters and output schema existence, the description provides all necessary context for correct agent usage.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by listing and explaining each parameter under 'Args:', including examples and tips like 'numbered list recommended'. This adds significant meaning beyond the schema's type-only definitions.

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 uses a specific verb 'Create' and resource 'setup, deployment, or infrastructure document', and explicitly distinguishes from sibling tool write_architecture_doc by stating its use for system design rather than how-to guides.

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?

The description provides explicit when-to-use guidance ('Use for environment setup guides, CI/CD configuration, Docker or infrastructure docs, and deployment runbooks') and when-not-to-use with alternative ('Use write_architecture_doc() for system design rather than how-to guides').

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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