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dependency_risk_score

Score the security risk of software dependencies before using them. Checks each package against OSV.dev (Google's vulnerability database) and deps.dev for metadata. Returns per-package CVE counts, max severity, abandonment signals, and a hallucination check — HALLUCINATED means the package was not found and may be an AI-invented name or typosquat. Supports npm, pypi, go, maven, cargo, and nuget. Accepts up to 20 packages per call. Costs $0.10 USDC per call.

Input Schema

NameRequiredDescriptionDefault
packagesYesJSON array of packages to scan. Each entry: {"name": "lodash", "ecosystem": "npm", "version": "4.17.19"} — version is optional. Ecosystems: npm, pypi, go, maven, cargo, nuget. Example: [{"name":"lodash","ecosystem":"npm"},{"name":"requests","ecosystem":"pypi"}]

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the external data sources, returned risk signals, hallucination/typosquat handling, supported ecosystems, a 20-package cap, and a per-call USDC cost, but it does not explicitly state read-only/no-side-effect behavior or payment/auth mechanics.

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?

The description is front-loaded with the core purpose, then moves efficiently through data sources, outputs, hallucination semantics, ecosystem support, limits, and cost. Every sentence provides actionable information with no padding.

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

Completeness5/5

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 sufficiently explains invocation context, supported inputs, behavioral risks, output fields, limits, and cost. An agent has enough information to decide when and how to call it correctly.

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

Parameters4/5

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

Schema coverage is 100%, so the schema already documents the packages format and ecosystem values. The description adds useful operational meaning by stating the cap of 20 packages per call and confirming supported ecosystems, which is beyond the schema's parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: score security risk of software dependencies, using named external sources OSV.dev and deps.dev. It clearly distinguishes the tool from the crypto/finance siblings by domain and names the exact output dimensions, so an agent can identify its purpose without opening the schema.

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?

It gives a clear usage context: 'before using them,' which tells the agent this is a pre-adoption dependency check. It does not name explicit alternatives or exclusions, but there is no direct sibling dependency-scanning tool in the provided list, so the omission is minor.

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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