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GitHub Repo Change Intelligence

repo_batch_scan

PAID ($0.03 USDC per repo via x402, max 50). Track a whole dependency/portfolio set of GitHub repositories in one call: stars, issues, last push and latest release per repo. Use for dependency monitoring, open-source portfolio health, supply-chain maintenance tracking, scanning many projects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it does disclose genuinely important behavior: this is a paid tool ($0.03 USDC per repo via x402) with a hard batch cap of 50 repos. It does not state read-only semantics, what happens on a partially invalid repo list, or any auth/payment-signing requirement beyond the mention of x402.

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?

Two sentences with the cost and cap front-loaded, which is exactly the information an agent needs before committing. The use-case clause is slightly padded with near-synonyms (dependency monitoring, portfolio health, supply-chain maintenance), but overall it is tight.

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?

With no output schema, the description usefully enumerates the fields returned per repo, and it covers cost and batch limits. The missing pieces are the input identifier format and partial-failure behavior, which leave a small but real gap for a paid, batched 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?

Schema description coverage is 0% for the single 'targets' parameter. The description compensates partially by identifying the items as GitHub repositories ('a whole dependency/portfolio set') and by capping the array at 50, but it never states the expected identifier format (owner/repo vs full URL), which is the one detail an agent most needs.

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?

Names a specific verb (track/scan) and resource (a set of GitHub repositories) and enumerates the returned fields: stars, issues, last push, latest release per repo. The phrase 'in one call' and 'max 50' distinguishes it from single-repo siblings like repo_snapshot, but no sibling is ever named explicitly.

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 final sentence gives concrete when-to-use contexts: dependency monitoring, open-source portfolio health, supply-chain maintenance tracking, scanning many projects. That is clear usage context, but it offers no exclusions and never routes the agent to an alternative sibling for single-repo or diff-style needs.

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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