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Penniless GitHub Repo Stats

github_repo_stats

Popularity and metadata for any public GitHub repo: stars, forks, open issues, watchers, language, license, topics, last push. Body {repo} -> {ok, found, stars, forks, openIssues, language, license, pushedAt}. Costs $0.001 USDC on Base per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesowner/name

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the output body structure and the cost ($0.001 USDC per call), which is useful. However, it does not mention failure modes (e.g., repo not found), rate limits, or whether any authentication is required. The cost disclosure is a positive, but the description could be more transparent about error handling.

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?

The description is two concise sentences. The first sentence states purpose and lists output fields, and the second gives the body format and cost. It is front-loaded and every sentence adds value.

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?

For a simple tool with one parameter and an output schema, the description covers the purpose, output structure, and cost. It does not explicitly state error handling or rate limits, but the 'found' field implies handling of missing repos. Given the low complexity, it is nearly complete, though a note on invalid repos would make it fully complete.

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?

The schema description covers the only parameter 'repo' with 'owner/name', which is clear. The description adds no additional semantics beyond the schema, only showing how it appears in the body. Since schema coverage is 100%, the baseline of 3 applies.

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 returns popularity and metadata for any public GitHub repo, listing specific fields (stars, forks, open issues, etc.). This is a specific verb+resource with no ambiguity, and it is clearly distinct from its unrelated siblings (cron, DNS, WHOIS, etc.).

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 description specifies the tool is for any public GitHub repo, providing a clear scope. While it does not explicitly mention alternatives or when not to use it, the sibling tools are entirely unrelated (cron, DNS, email, JSON tools), so no alternative routing is needed. The context is sufficient for an agent to know when to invoke this tool.

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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