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gitmanual

Get a repo's setup manual

get_setup_manual
Read-only

How to install or run a GitHub repository: whether it works on macOS, Windows or Linux (with reasons), ready-made downloads, install commands from the README, the parts it needs, and step-by-step commands to set it up from source. Facts come from the repo's own files, not guesses.

Input Schema

NameRequiredDescriptionDefault
osNoOnly this system. Leave out for all three.
archNoThe user's CPU, for picking the right download (Apple Silicon is arm64).
repoYesThe GitHub repo: "owner/repo" or a github.com link, e.g. "ollama/ollama".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered structurally. What the description adds beyond that is provenance — 'facts come from the repo's own files, not guesses' — which usefully signals reliability and the possibility of 'unknown' answers. It says nothing about cost, latency, or how much of a large repo is scanned, so the addition is real but modest.

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?

A single long sentence, but it is front-loaded with the core verb-and-resource framing and the enumerated clauses each add distinct information about the return payload. The trailing 'not guesses' clause is a slight stylistic flourish but also conveys a meaningful guarantee.

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?

No output schema exists, so the description must describe the return value itself — and it does so thoroughly, covering compatibility verdicts, download artifacts, command lists, and source-build steps. The one gap is the absence of any guidance relative to the sibling tool, which is a routing concern more than a completeness one.

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

Parameters3/5

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

Schema description coverage is 100%, and every parameter (repo, os, arch) already has enum values or an explanatory description, so the schema carries the semantics. The description's mention of macOS/Windows/Linux and 'ready-made downloads' loosely echoes the os and arch filters but never states that passing them narrows the output. Baseline 3 applies.

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

Purpose4/5

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

The description names the resource (a GitHub repository) and enumerates concretely what the result contains: OS compatibility with reasons, ready-made downloads, install commands from the README, required parts, and from-source steps. An agent knows exactly what it gets back. It stops short of naming the sibling get_setup_script, so the boundary between the 'manual' and the 'script' is left implicit.

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

Usage Guidelines2/5

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

There is no explicit when-to-use statement, no exclusion, and no reference to the alternative get_setup_script despite that sibling existing. The purpose implies the use case (understanding how to install a repo), but the agent must infer whether it wants this narrative answer or the sibling's executable script.

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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