Skip to main content
Glama

tool_audit

Read-onlyIdempotent

Audit installed Python tools for known security vulnerabilities. Filter by specific tool names, ignore advisories, or run offline using cached data.

Instructions

Audit installed uv tools for known vulnerabilities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolsNoNames of specific installed tools to audit.
ignoreNoVulnerability IDs to ignore.
offlineNoUse only cached advisory data.
all_toolsNoAudit all installed tools when no names are provided.
ignore_until_fixedNoIDs to ignore only while no fix is available.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolsYes
schema_versionYes
Behavior2/5

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

Annotations already declare readOnlyHint and idempotentHint, which cover the safety profile. The description adds no additional behavioral context, such as whether the tool fetches advisory data from the network or updates its cache, especially given the 'offline' parameter exists.

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?

A single concise sentence with no superfluous words. It efficiently conveys the core function without clutter.

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?

The tool is simple and an output schema exists, so return values need no explanation. However, the description lacks any usage context or relationship to sibling tools, and the presence of several parameters like ignore and offline is not reflected in the description, leaving some gaps in completeness.

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 fully documents each parameter. The description itself adds no parameter detail, which meets the baseline expected when the schema is complete.

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 audits installed uv tools for known vulnerabilities, using a specific verb ('audit') and resource ('installed uv tools'). It explicitly distinguishes from the sibling 'audit' tool by focusing on uv tools rather than project dependencies.

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?

No guidance is provided on when to use this tool versus alternatives such as the sibling 'audit' tool. The description does not mention exclusions, prerequisites, or typical scenarios, leaving the agent to infer usage from the name alone.

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/yriveiro/uv-mcp'

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