ScorpTech x402 API

Github Health

github_health

Read-onlyIdempotent

GitHub repository health summary via public API: stars/forks/issues, license, languages, last push age, latest release & commit, heuristic healthScore and notes. Unauthenticated rate limits apply. Price: $0.008 USDC per successful call (x402, Solana). Same tool over HTTPS: GET https://scorptech.it.com/api/x402/v1/github-health

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "repo": "<repo>"
    },
    "name": "github_health"
  }
}

Input Schema

Name	Required	Description	Default
`repo`	Yes	owner/repo or github.com URL

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 23, 2026

TDQS

A4.1/5.0

Behavior5/5

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

Goes well beyond the annotations by disclosing unauthenticated rate limits, a per-call price of $0.008 USDC via x402 on Solana charged per successful call, and an alternative HTTPS endpoint. It also states the heuristic nature of the healthScore and that notes are included, giving the agent important operational context beyond readOnly/openWorld hints.

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 front-loaded with the core purpose, then supplies operational details in a single dense but efficient narrative. Every sentence carries useful information: metrics returned, rate limits, pricing, and the alternate endpoint; there is no filler.

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?

Without an output schema, the description compensates by listing the returned metrics explicitly (stars/forks/issues, license, languages, last push age, latest release & commit, healthScore, notes). It also covers the critical rate-limit, payment, and endpoint behavior, making it complete for a one-parameter read-only summary tool.

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 input schema has 100% description coverage for the single 'repo' parameter ('owner/repo or github.com URL'), and the tool description adds no additional syntax or format guidance beyond that. With schema coverage this high, 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?

States a specific verb and resource: 'GitHub repository health summary via public API', and enumerates the included metrics (stars/forks/issues, license, languages, last push age, latest release & commit, healthScore). This clearly identifies the operation, though it does not explicitly distinguish it from the sibling 'repo_posture' tool.

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

Usage Guidelines3/5

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

Usage is implied by the description of what the tool summarizes, but there is no explicit 'use this when' guidance, no exclusions, and no named alternative such as 'repo_posture' or 'github_trending'. It mentions 'via public API' and rate limits, which provide context but not selection 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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