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Dependency verdict ($0.03)

dependency-verdict
Read-only

"Should I use this dependency?" in one call for npm, PyPI, crates or Go: full package safety check (vulnerabilities, malware, typosquats, deprecation, licence, downloads) plus its GitHub repository health (activity, bus factor, releases, Scorecard), a clear decision (use / use-with-care / avoid) with reasons, and plain-English advice. Price: $0.03 in USDC per call (x402 or prepaid credits). In the free trial.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPackage name, e.g. express, requests, serde or github.com/gin-gonic/gin.
versionNoExact version to check (default: the latest release).
ecosystemNoPackage ecosystem: npm, pypi, crates (Rust) or go (Go modules).npm

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
adviceYesShort plain-English recommendation (AI-written from the facts below).
packageYesFull /package/check report.
reasonsYes
versionYes
decisionYes
checkedAtNo
ecosystemYes
repositoryYesFull /repo/health report, if the source is on GitHub.

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?

Annotations already declare readOnlyHint/openWorldHint, so the safety profile is covered. The description adds real behavioral context beyond them: the exact price ($0.03 USDC per call, x402 or prepaid credits), the free-trial availability, and the fact that it wraps both a package scan and a GitHub repository health check. It doesn't explain the idempotentHint=false / per-call cost interaction explicitly, keeping it short of a 5.

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 question-style lead sentence is front-loaded and directly useful, and the price sentence is separated out. The check list reads as a long parenthetical, but each item (vulnerabilities, malware, typosquats, deprecation, licence, downloads, repo health) earns its place by defining scope.

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 an output schema present and 100% schema coverage, the description needn't explain return values and correctly outlines the verdict format. It is complete enough to call correctly; only the sibling-differentiation gap and idempotency/cost nuance keep it from full marks.

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 100%, so all three params (name, version, ecosystem) are already documented. The description echoes the supported ecosystems and the default-version behavior but adds no syntax or format detail beyond the schema, so the 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?

The description opens with a specific question it answers and names the resource (package safety check + GitHub repo health) with a concrete output (use/use-with-care/avoid). It's clear what it does, though it never names or contrasts with the many overlapping siblings like package-audit, package-check, dependency-report, and repo-health, which it effectively combines.

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?

'Should I use this dependency? in one call' implies the adoption-decision context, and 'in one call' hints it bundles work that siblings split. But there is no explicit when-to-use or when-not, and no alternative named among the crowded package-*/repo-* siblings, leaving routing to inference.

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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