Skip to main content
Glama

gateway

exploitwatch__check_dependencies_against_kev

Read-only

Check a comma-separated list of software dependency/product names against CISA's live Known Exploited Vulnerabilities (KEV) catalog. Returns any matches with the CVE, vulnerability name, and why it matched. Call this before shipping or during a dependency/security review to catch actively-exploited components, or when working out whether an EU Cyber Resilience Act Article 14 reporting obligation (the 24h early warning / 72h notification / 14-day final report clock) has been triggered. Matching is by name and deliberately errs towards over-matching, so review each hit before acting on it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dependenciesYesComma-separated dependency/product names, e.g. "express, lodash, openssl"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already mark the tool read-only and non-destructive, and the description adds a live-data caveat and an over-matching behavior warning, telling the agent to review each hit. This is beyond the structured annotations and helps calibrate trust in results.

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?

Four sentences, each carrying a distinct piece of information: function, return value, when to use, and over-matching caveat. The most critical scoping is front-loaded and no redundant phrases appear.

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 read-only lookup, the description provides the input, output shape, usage triggers, and a behavioral caveat; no output schema is needed because return contents are named. It is self-sufficient for an agent to decide and invoke correctly.

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?

The schema already documents the dependencies parameter as comma-separated names with an example, so description coverage is 100%. The description's phrase 'matching is by name' reinforces but does not extend the schema, keeping this at baseline.

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 opens with a clear verb and resource: checking dependency names against CISA's live KEV catalog, and specifies the output (CVE, vulnerability name, why it matched). This distinguishes it from sibling security tools like triageshield and pumpcheck by tying it specifically to CISA KEV and CRA reporting.

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 explicitly says to call it before shipping or during a dependency/security review, and when assessing EU CRA Article 14 reporting triggers. It does not name alternatives to avoid, but gives concrete contexts that select this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources