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github_intelligence

GitHub Repository & Developer Intelligence: Trigger: Call this tool when an agent evaluates open-source repository velocity, PR merge speeds, contributor activity, or issue volume. Input: 'repo' (string owner/repo, e.g. facebook/react). Output: developer activity metrics and repository health score. (x402 M2M Cost: 0.01 USDC on Base)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoNoInput parameter for repo (e.g. "facebook/react")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose two genuinely useful facts: the return shape (activity metrics plus health score) and a required x402 machine-to-machine payment of 0.01 USDC on Base, which is real invocation-relevant context. It says nothing about data freshness, rate limits, failure modes, or whether owner/repo must exist publicly, so material gaps remain.

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 text is front-loaded with labeled sections (Trigger, Input, Output, Cost) so an agent can skim to the relevant clause, and each sentence carries distinct information. The opening 'GitHub Repository & Developer Intelligence' banner is slightly redundant padding, keeping it from a 5.

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 one-parameter tool with no output schema, the description supplies the input format, the output contents, and the payment requirement an agent must satisfy before calling. That covers the essentials a caller needs, with only secondary details like latency or error behavior missing.

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 there is a single parameter, so the structured field already explains 'repo'. The description repeats the owner/repo format and the 'facebook/react' example, adding no meaning beyond what the schema and its example provide. Baseline 3 is appropriate.

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 (GitHub repository and developer intelligence) and clearly states what the agent gets back: developer activity metrics and a repository health score. The operation is implied through the trigger sentence rather than an explicit verb like 'get' or 'analyze', which keeps it just short of a 5. No sibling competes in this domain (all siblings target other platforms), so differentiation is implicit rather than explicit.

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 'Trigger' clause gives clear, concrete when-to-use conditions: repository velocity, PR merge speeds, contributor activity, issue volume. There are no competing GitHub tools among the siblings, so exclusion guidance isn't strictly needed. It stops short of a 5 because no when-NOT-to-use or prerequisite condition is stated.

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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