generate_cover_letter

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

With no annotations, the description provides minimal behavioral info: it returns formatted text displayable or savable as PDF. It does not disclose side effects, authentication needs, or rate limits, but implies a read-only generation.

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 very concise (one sentence) and front-loads the primary action. It could include a brief note about required parameters without sacrificing conciseness.

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 complexity of the input schema (nested objects, multiple required fields) and no output schema, the description is insufficient. It does not explain how the cover letter is tailored or what to expect in the output, leaving the agent without key context.

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 description does not clarify the complex userProfile and jobRequirements parameters. Schema coverage is only 50%, so the description should compensate but fails to explain how these objects influence the output.

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 it generates a tailored cover letter for a specific job application, distinguishing it from sibling tools that focus on CV generation or saving. However, it lacks specificity about the tailoring mechanism.

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?

No guidance on when to use this tool versus alternatives like generate_email_template or parse_job_requirements. No prerequisites or context for invocation.

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