get_job_evaluation

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 and does not meet it. It says nothing about what happens when no evaluation has been saved (error vs. empty), whether the evaluation is user-scoped, or any auth/rate-limit considerations for a retrieval 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?

One sentence, front-loaded with the verb and resource, and no filler. Nothing could be trimmed without losing the scope qualifier.

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?

For a single-parameter read tool with no output schema, the description is minimally adequate: the agent knows what it fetches. It leaves open the return shape (what fields an evaluation has) and the no-evaluation-exists case, which matters given zero annotations.

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 coverage is 100% and there is only one parameter, whose schema description ('The job ID to get evaluation for') matches the description's phrasing. The description adds no format, ownership, or sourcing detail beyond the schema, so the baseline 3 applies.

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 (Get) and resource (the saved CV/resume evaluation) scoped to a job. The word 'saved' implicitly distinguishes it from generation-side siblings like evaluate_job_fit or generate_and_store_cv, but it never names that sibling explicitly.

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 only implied: 'saved' suggests an evaluation must already exist, and 'for a specific job' implies the job_id must reference a job the user owns. There is no explicit when-to-use, prerequisite, or routing versus evaluate_job_fit.

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