Skip to main content
Glama

check_package_vulns

Identify security vulnerabilities in software packages by checking against OSV.dev database. Specify package name, ecosystem, and optional version to receive vulnerability reports.

Instructions

Check a package for known vulnerabilities via OSV.dev.

Args: package: Package name (e.g. log4j-core, requests, lodash) ecosystem: Package ecosystem — PyPI, npm, Go, Maven, NuGet, crates.io, Packagist, Hex, RubyGems, Android, CocoaPods, GitHub Actions version: Optional specific version to check (e.g. 2.14.1)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packageYes
ecosystemYes
versionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions the data source (OSV.dev) but doesn't disclose behavioral traits like rate limits, authentication needs, error handling, or what happens when vulnerabilities are found. For a security tool with no annotation coverage, this is a significant gap.

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 description is appropriately sized and front-loaded with the core purpose in the first sentence. The parameter explanations are organized but could be slightly more concise. Overall, it's efficient with minimal waste.

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

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (3 parameters, no annotations, but with an output schema), the description is partially complete. It covers parameters well but lacks behavioral context and usage guidance. The output schema existence means return values don't need explanation, but other gaps remain.

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 description coverage is 0%, so the description must compensate. It provides clear semantic meaning for all three parameters with examples (e.g., 'log4j-core', 'PyPI', '2.14.1') and explains the optional nature of 'version'. This adds substantial value beyond the bare 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 clearly states the tool's purpose with a specific verb ('Check') and resource ('package for known vulnerabilities'), and distinguishes it from siblings by specifying the data source ('via OSV.dev'). It's not a tautology and provides concrete operational context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools focused on vulnerability assessment (e.g., lookup_cve, scan_dependencies, search_cves), there's no indication of when this OSV.dev-based package check is preferred over other methods.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mukul975/cve-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server