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 audit checks (unpinned, VCS, deprecated) but does not disclose if the tool is read-only, modifies files, or what the output format is. Minimal behavioral context beyond the basic purpose.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence of 8 words, very concise. However, the extreme brevity sacrifices clarity and completeness. While concise, it does not provide enough information to be considered appropriately sized.

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

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

Given the tool has one parameter, no output schema, and no annotations, the description should explain the input and output. It only states the audit scope, leaving the parameter ambiguous and the result format unknown. The description is incomplete for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one required parameter 'text' with 0% description coverage. The description does not clarify what 'text' should contain (e.g., raw content of requirements.txt, a file path, or a URL). This is a critical omission for effective tool selection and invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool audits Python requirements.txt files specifically for unpinned, VCS, and deprecated packages. Among sibling tools like 'package_manifest_audit' (for other formats) and 'dependency_versions_extract', it distinguishes itself by targeting Python requirements.txt and specific audit checks.

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

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

The description implies use when auditing Python requirements.txt files but does not explicitly state when to use this tool versus alternatives like 'dependency_versions_extract' or 'package_manifest_audit'. No when-not-to-use or exclusion criteria are provided.

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