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GitHub Repo Change Intelligence

repo_landscape

PAID ($5 USDC on Base via x402, up to 10 repos). Strategic repository landscape: ranks related projects by stars and activity, flags abandoned/archived or low-maintenance outliers. Use for comparing libraries/frameworks, picking the best open-source option, technology benchmarking, developer-tool market mapping.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
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 does notably well: it discloses the cost ($5 USDC on Base via x402) and the scope cap (up to 10 repos), both of which an agent needs before invoking. It stops short of describing what the ranking output contains or how 'related' projects are matched, leaving some behavioral ambiguity.

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?

Three tightly packed sentences that front-load the cost and cap, then the capability, then the use cases. No filler, and the pricing constraint an agent must weigh appears first.

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 annotations and no output schema, the description covers cost, input cap, capability, and selection intent. What is missing is any indication of response shape or how the ranking is produced, which would be needed to set expectations for a comparative-analysis 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 coverage is 0%, so the description must compensate, and 'up to 10 repos' does communicate that the targets array is capped at ten entries. It does not, however, clarify the expected item format (owner/repo, URL, or bare name) or whether targets are seeds that get expanded into related projects, leaving the single required parameter partly opaque.

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+resource combination ('Strategic repository landscape: ranks related projects by stars and activity, flags abandoned/archived or low-maintenance outliers') that an agent can distinguish from a plain scan or snapshot. It does not name any sibling tool, so the differentiation from repo_intel_report or repo_batch_scan is inferred 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?

Gives four concrete when-to-use scenarios: comparing libraries/frameworks, picking the best open-source option, technology benchmarking, and developer-tool market mapping. However, it offers no explicit when-not guidance or named alternative among the sibling tools, so the agent must still infer boundaries.

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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