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score_repo_trust

Paid $0.001 (x402, USDC Base): trust score 0-100 + GO/CAUTION/HONEYPOT_RISK verdict + reasons for a GitHub repo. Screen bounties before working them — one avoided rug pays for 1000 calls.

Input Schema

NameRequiredDescriptionDefault
repoYesowner/name, e.g. facebook/react

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and does a good job: it discloses that the call costs $0.001 and requires x402/USDC-on-Base payment, which is critical pre-invocation context. It stops short of describing return format details (structured vs text) or any rate/error behavior.

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?

Compact single sentence that front-loads the pricing/payment requirement and then the output. The closing sales pitch ('one avoided rug pays for 1000 calls') is extraneous but brief enough not to crowd out the useful content.

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 covers the essentials an agent needs: cost/auth mechanism, return values (score, verdict, reasons), and intended use case. It is nearly complete; only sibling disambiguation and return-type detail are 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?

Only one parameter and schema description coverage is 100%, so the 'owner/name, e.g. facebook/react' format is already fully documented in the schema. The description adds no extra syntax or constraint beyond identifying the target as a GitHub repo, so baseline 3 applies.

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: returns a trust score (0-100), a GO/CAUTION/HONEYPOT_RISK verdict, and reasons for a GitHub repo. The output shape makes the purpose unambiguous. It does not differentiate itself from the sibling repo_verdict, which is the only gap.

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?

Offers a concrete trigger ('screen bounties before working them') but no explicit when-not conditions and never names an alternative tool, notably the sibling repo_verdict. The guidance is present but incomplete for an agent choosing between near-identical repo-scoring siblings.

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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