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Glama

Batch Vulnerability Scan

osv.security.batch
Read-onlyIdempotent

Batch check up to 100 packages for known vulnerabilities by submitting package, version, and ecosystem triples. Perform full dependency tree security audits in a single call.

Instructions

Scan up to 100 packages at once for known vulnerabilities. Submit package+version+ecosystem triples (e.g. full requirements.txt or package.json dependencies) and get vulnerability matches for all in a single call. Ideal for full dependency tree security audits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queriesYesList of package+version+ecosystem to check (max 100)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv1.5.0

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already provide readOnlyHint, destructiveHint, idempotentHint, openWorldHint. The description adds no further behavioral details beyond 'scan', which is consistent. With annotations covering the safety profile, a score of 3 is appropriate.

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?

Two sentences with no wasted words. Key information (batch size, format, use case) is front-loaded and efficiently conveyed.

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?

Given rich annotations, full schema, and existence of output schema, the description covers the essential aspects: what, how many, what to submit, and an example use. No major gaps.

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?

Input schema has 100% coverage, and the description adds practical context ('package+version+ecosystem triples', 'e.g. requirements.txt') that goes beyond the schema labels, aiding agent understanding.

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 uses specific verb 'scan' and resource 'packages at once for known vulnerabilities', clearly distinguishing from sibling tools like osv.security.get (single package).

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 clear examples ('requirements.txt or package.json dependencies') and context ('full dependency tree security audits'), but does not explicitly mention when not to use or name alternatives.

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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