Generate Cover Letter

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

No annotations are provided, so the description carries the full behavioral burden. It says the letter is short and cites two achievements, but says nothing about what happens when candidate_name or hiring_manager is null, whether the output is generated text or a file, or whether it is persisted. For a generation tool with zero annotation coverage, that is a significant gap.

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?

A single tight sentence with the key constraint front-loaded; no filler. It is arguably too terse rather than bloated, which costs it little here but leaves the definition under-specified.

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?

An output schema exists, so return-value explanation isn't required. But with 0% schema coverage, no annotations, and four required plus two optional parameters, the description leaves too much unspecified for an agent to invoke confidently – notably the role of nullable parameters and any formatting or length expectations.

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% across six parameters, so the description must compensate. It implies that candidate_profile and job_description drive achievement selection, but says nothing about company_name, job_title, or the two nullable optional parameters (candidate_name, hiring_manager) and how they affect the letter's salutation or personalization.

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 gives a specific verb (draft) and resource (cover letter) plus a notable constraint (short, citing two most relevant achievements). However, it doesn't distinguish this from the closely related sibling tailor_resume or clarify its place in the prepare_job_application workflow. Purpose is understandable but sibling differentiation is absent.

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?

There is no explicit when-to-use guidance, no prerequisites, and no alternatives named. An agent must infer from sibling names (tailor_resume, prepare_job_application) whether to call this tool or those; the description offers no routing help.

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