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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing about inputs, outputs, side effects, or whether the 'voice' interaction is synchronous. The 'Interviewer:' prefix hints at a persona but conveys no actionable behavior.

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?

It is short, but it is under-specified rather than concise — there is no front-loaded statement of purpose and the emoji/persona prefix consumes the only content. Brevity here reflects missing information, not efficiency.

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 annotations, no output schema, and a minimal single-parameter schema, the description should explain what the tool returns and how the 'detail' parameter shapes the interview. It leaves an agent unable to invoke this correctly with confidence.

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% for the single 'detail' parameter, so the baseline is 3 even though the description adds no parameter meaning. The schema itself only says 'Specific parameters for this action,' which is generic, but coverage rules set the floor at 3.

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 '🎤 Interviewer: voice interview questions' essentially restates the tool name with an emoji and a persona label. It never states what the tool actually does (generate questions? conduct an interview? return a script?), so an agent cannot distinguish it from the sibling 'converse' beyond the name itself.

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?

There is no when-to-use, when-not-to-use, or alternative routing guidance. With siblings 'converse' and 'resume_cv_generation' present, the agent has no basis for choosing this tool over them.

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