generate_cover_letter

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

With no annotations provided, the description bears full responsibility for disclosing behavioral traits. It does not mention side effects, permissions, or any side effects beyond generating content. It only hints at output formats (html, md, pdf), but lacks details about what happens to the output (e.g., file creation, return payload) or any preconditions like profile access. The description is largely parameter-focused rather than behavior-focused.

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 concise, starting with a one-sentence purpose followed by a structured args block. Every line earns its place, with no redundant words or filler. The format is easy to parse and front-loads the core purpose.

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?

The description covers all parameters and provides output format options, but lacks broader context such as prerequisites (e.g., must have a valid LinkedIn profile), expected behavior, or edge cases. The presence of an output schema reduces the need to describe return values, but without annotations, more behavioral context would be expected for full completeness. It is minimally adequate but with clear gaps.

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?

Schema description coverage is 0%, but the description adds meaningful parameter details that go beyond the bare schema types. It explains that profile_id accepts 'me' for self, template has options 'professional' and 'concise', and output_format has 'html', 'md', 'pdf'. This significantly helps an agent fill parameters correctly, compensating for the lack of schema descriptions.

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's function with a specific verb 'Generate' and a specific resource 'a personalized cover letter for a specific job posting' (e.g., 'Generate a personalized cover letter'). It effectively distinguishes itself from sibling tools like generate_resume and tailor_resume by focusing on cover letters rather than resumes.

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 provides no explicit guidance on when to use this tool versus alternatives such as generate_resume or tailor_resume. It only states what the tool does and lists parameters, leaving the agent to infer usage context from the sibling names without clear decision criteria.

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