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

The annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is clear. The description adds that questions include type, competency, and expected answer signal, but it does not add much behavioral context beyond annotations and the output schema.

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 efficiently structured sentence with the core action front-loaded and no filler. It covers question types, tailoring, and expected output signals without unnecessary repetition.

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 two-parameter generation tool with full schema coverage, rich annotations, and an output schema, the description provides enough context to understand what will be generated. The main remaining gap is lack of explicit usage guidance versus sibling tools, which is minor given the clear tool scope.

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%, and the schema already documents both inputs, including the 50+ word minimum and the requirement to provide at least one. The description's phrase 'tailored to a role and candidate profile' loosely maps to the two inputs but adds no syntax or constraint details beyond the 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?

The description uses a specific verb and resource: 'Creates ... interview questions,' and names four question categories plus tailoring to role and candidate profile. It is clear what the tool produces, though it does not explicitly distinguish itself from nearby generation tools such as generate_jd.

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 use case is implied by the description and tool name, but it does not state when to use this tool versus alternatives or when not to use it. The schema carries the key usage constraints, such as providing at least one of resume_data or job_description_data.

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