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

Adds context beyond the annotations: it discloses that nothing is saved, that calls are rate-limited to a few per hour, and that the token may have write scope. These are exactly the operational facts an agent needs and are consistent with readOnlyHint=true and idempotentHint=false.

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?

Three dense sentences, front-loaded with the action and its inputs, followed by the persistence caveat and the operational limits. No filler or restated field names.

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?

Output schema exists so return values need no explanation; the description covers inputs, side effects, rate limits, auth scope, and the follow-up tool. Nothing material is missing for correct invocation.

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?

Only one parameter (job_id) and schema description coverage is 0%. The description implies job_id identifies the draft job whose title/description are used, but never states the ID format or error behavior for a non-draft job, so it adds only partial meaning over the bare schema.

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: AI-generates interview questions, knockout questions, and scoring criteria from a DRAFT job's title and description. Scope ('DRAFT job') cleanly separates it from siblings like update_draft_job or add_interview_question.

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?

Gives explicit when-to-use (draft job lacking questions/criteria) and a concrete next step: show suggestions to the member, then persist selected ones with update_draft_job. The alternative tool is named and the division of labor is unambiguous.

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