mcp-toolbelt

package_vulnerability_check

Look up a package (optionally pinned to a version) against OSV.dev's aggregated vulnerability database (GitHub Advisories, PyPA, RustSec, Go vuln DB, etc.) for known CVEs/advisories. Supports npm, PyPI, crates.io, RubyGems, Go, Maven, NuGet, and Packagist ecosystems. Useful before adding a dependency.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "ecosystem": "<ecosystem>",
      "name": "<name>"
    },
    "name": "package_vulnerability_check"
  }
}

Input Schema

Name	Required	Description
`name`	Yes	Package name
`version`	No	Optional exact version to check; omit to check the package generally
`ecosystem`	Yes	Package ecosystem

Schema Changelog

Changes observed during successful MCP inspections.

First observedAug 31, 2026

TDQS

A4.2/5.0

Behavior4/5

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

With no annotations, the description carries the burden of disclosing behavior. It communicates a read-only external lookup against OSV.dev and lists aggregated sources and supported ecosystems, which is enough to infer non-mutating behavior. It does not mention rate limits or failure behavior, but these are lower risk for a simple advisory lookup.

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 three focused sentences with no filler. The main purpose is front-loaded, the source list is compact and useful, and the use-case sentence adds practical value without redundancy.

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 straightforward lookup, the description covers the data source, supported ecosystems, version semantics, and intended use case. There is no output schema, and return structure is not detailed, but 'known CVEs/advisories' gives an agent enough expectation about the result.

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 the schema already documents name, version, and ecosystem. The description reinforces that a version is optional/pinned and lists ecosystems, but it does not add meaning materially beyond the schema.

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 identifies a specific verb ('Look up'), a specific resource (a package against OSV.dev's aggregated vulnerability database), and the outcome (known CVEs/advisories). This clearly distinguishes it from siblings like safe_browsing_check or security_headers_audit, which focus on different security concerns.

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?

The description gives concrete usage context with 'Useful before adding a dependency,' making it clear when an agent should consider this tool. It does not explicitly name alternatives or state when not to use it, but no sibling appears to be a direct package-vulnerability alternative.

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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