evaluate_job_fit

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 discloses that an AI performs the evaluation and that a score plus analysis is returned, but says nothing about whether the result is persisted (get_job_evaluation implies it may be), latency/cost of an AI call, or permission requirements.

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?

Two tight sentences with the action front-loaded and the return value last. No wasted words, though it is quite terse given the tool's complexity.

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?

With no output schema, no annotations, and five parameters, the description should do more. The one-line note about the fit score partially covers the return value, but persistence behavior, profile prerequisites, and the job_id-vs-manual-input relationship are left unexplained.

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% across all five parameters, so the baseline is 3. The description adds only the notion that evaluation works against the user's profile/resume, without clarifying how job_id vs. job_title/description inputs interact (e.g., whether job_id makes the other fields optional).

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 and resource: 'evaluate how well the user's profile/resume matches a specific job', plus the return shape (fit score + analysis). However, it never distinguishes itself from the closely-named sibling get_job_evaluation, leaving the agent to guess which one retrieves vs. generates an evaluation.

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?

Usage is implied — evaluate a job against the user's profile — but there is no explicit when-to-use, no prerequisite (e.g., an existing profile), and no mention of alternatives like get_job_evaluation or save_job. The agent must infer the routing.

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