parse_job_requirements

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action ('parse') without detailing whether the operation is read-only, idempotent, or has side effects. No information about authentication requirements, rate limits, or data persistence is given.

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 a single, concise sentence (11 words) that conveys the core purpose without redundancy. It is front-loaded and efficient, though it could benefit from a second sentence to add context without losing conciseness.

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?

Given the tool has 7 parameters (3 required) and no output schema, the description lacks important context such as what 'key information' includes, how parsing works, or what the output looks like. This inadequacy hinders an agent's ability to fully understand the tool's capabilities and 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 100%, so the input schema already documents all parameters. The description adds no additional meaning or context beyond what the schema provides. The baseline for high coverage is 3, and no extra param insights are offered.

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 verb 'parse' and the resource 'job requirements', with the goal of 'extracting key information for CV tailoring'. It is distinct from sibling tools that focus on generating or saving CV documents, making the purpose clear and well-differentiated.

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 guidance on when to use this tool versus its siblings, such as 'generate_cv' or 'debug_cv_data'. There are no explicit conditions, prerequisites, or indications of workflow placement, leaving the agent to infer usage solely from the name.

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