get_generated_resume

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

No annotations are provided, so the description carries the full burden. 'Get' implies a read-only operation, and the description adds the useful behavioral detail that the response includes a download URL. However, it does not disclose response format, pagination, or any other side effects, which is adequate for a simple get but not rich.

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, front-loaded sentence with no wasted words. It clearly states the action and key output (download URL), making it highly efficient.

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?

For a simple get operation with one parameter and no output schema, the description is largely complete. It mentions the download URL as a key detail, but 'details' is somewhat vague. Given the tool's simplicity, the description is nearly sufficient, with little missing.

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 100% coverage for the single required parameter ('id'), and the description aligns with it by referencing a 'specific AI-generated resume'. The description adds no additional semantic detail beyond what the schema already provides, so a baseline of 3 is appropriate.

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 uses a specific verb ('Get') and resource ('details of a specific AI-generated resume') and highlights the download URL. It clearly distinguishes from sibling tools like get_resume and list_generated_resumes by targeting AI-generated resumes specifically.

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 clearly implies when to use this tool: when you need details of a specific AI-generated resume. However, it does not explicitly state when not to use it or mention alternatives, though sibling tools make this contextually obvious.

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