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Read-onlyIdempotent

Audit dependencies across 17 ecosystems. Provide a list of packages to receive per-package health, vulnerability reports, and prioritized actions (REMOVE NOW, URGENT, REPLACE, REVIEW). Ideal for reviewing package.json or requirements.txt.

Instructions

Full dep-list audit with per-package health+vulns and prioritized actions (REMOVE NOW / URGENT / REPLACE / REVIEW). Accepts EITHER {ecosystem, packages:[name@ver, …]} (up to 100, returns JSON) OR {packages:[{ecosystem, package}, …]} (up to 50, mixed ecosystems, returns text brief). USE WHEN: user pastes package.json/requirements.txt; 'is my stack OK'. Unlike check_bulk this fetches full health/vulns. RETURNS: JSON or text per shape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ecosystemNoRequired when packages is a string array.
packagesYesEither ['express','lodash@4.17.0'] (single ecosystem, up to 100) or [{ecosystem, package}, …] (mixed, up to 50).
Behavior4/5

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

Annotations already declare readOnly, destructive, idempotent hints. Description adds input format variants, return types, and action labels—valuable beyond annotations. No contradiction.

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?

Concise at ~4 sentences, with bold-like emphasis. No wasted words, but could be better structured (e.g., bullet points). Still efficient.

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?

Covers input/output, limits, and use cases. No output schema exists, but description explains return types. Missing error handling details, but adequate for the tool's purpose.

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% but description clarifies dual input shapes, max counts, and return formats. Adds significant meaning beyond the schema's field descriptions.

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?

Clearly states 'full dep-list audit' with specific actions (REMOVE NOW, etc.) and distinguishes from sibling check_bulk by noting it fetches full health/vulns. Verb+resource+scope is 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?

Explicitly states use cases (pasting package.json, checking safety) and differentiates from check_bulk. Lacks explicit exclusions for single-package checks, but the context is clear.

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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