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 burden. It does disclose that this is an AI/LLM generation (non-deterministic, potentially slow), but says nothing about persistence, cost/quotas, auth requirements, or whether the result is returned or saved. That silence is a real gap for a generation tool.

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 front-loaded sentence with no filler; the purpose is immediately visible. It is efficient, though it could have spent one more clause on behavior without becoming bloated.

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?

There is no output schema and no annotations, and the description never states what comes back (generated text vs. a stored document reference) or how the optional job_id changes that behavior. For a 5-parameter generation tool with zero structured behavioral coverage, this leaves the agent under-informed.

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 100%, so every parameter is already documented there, establishing the baseline of 3. The description adds only one piece of context beyond the schema — that output is tailored using the user's profile/resume — which is profile-state context rather than parameter meaning.

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?

States a specific verb (generate) and resource (tailored cover letter) scoped to a specific job and grounded in the user's profile/resume. The generate-vs-get distinction against the sibling get_job_cover_letter is inferable but never named explicitly, so it falls short of a 5.

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?

Implies when to use it (when the user wants a new cover letter for a job) but gives no explicit conditions, prerequisites, or alternatives. Nothing says whether the user must already have a profile/resume populated, nor when to prefer generate_cv instead.

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