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repo_contribution_readiness

Paid $0.10 repository contribution readiness from current public GitHub data. Supports x402 v2 or a legacy HTTP Bearer token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_urlYes
change_typeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / access_token
      Removed value: -{
      -  "type": "string"
      -}
    • changedInput schema / required
      Previous value: -[
      -  "repo_url",
      -  "access_token"
      -]New value: +[
      +  "repo_url"
      +]
  2. First observed

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavior. It usefully mentions the $0.10 cost, required payment or auth mechanisms (x402 v2 or legacy Bearer token), and that data comes from current public GitHub data. However, it does not state whether the operation is read-only, what happens on payment failure, or what the returned readiness result looks like.

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 description is short and front-loaded with the most important operational facts: cost, data source, and authentication support. Both sentences contribute useful information, though the phrasing 'Paid $0.10 repository contribution readiness' is a bit awkward and could be more direct.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a paid tool with no output schema and no annotations, yet the description does not explain what the tool returns or how the passed parameters affect the result. It also does not mention when to prefer this tool over the sibling tools. Important invocation and outcome details are missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no explanation of repo_url or change_type. The parameter names and enum values are somewhat self-descriptive, but the description does not clarify how change_type affects readiness or what format repo_url must take. The description fails to compensate for the missing schema documentation.

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 conveys that the tool provides a repository contribution readiness assessment based on current public GitHub data and costs $0.10. This is clear enough for an agent to identify the tool's core function, though it lacks an explicit verb like 'check' or 'evaluate'. It does not differentiate between sibling tools, but the noun phrase is reasonably informative.

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

Usage Guidelines2/5

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

There is no guidance about when to use this tool versus alternatives like bounty_reality_check or payment_preflight. The description only mentions authentication support, which is a prerequisite rather than a usage condition. No exclusions or alternative-selection advice are provided.

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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