conduct_mock_interview

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. While 'AI-powered mock interview' implies an interactive simulation, it doesn't explain what happens during the interview, whether it's time-limited, what input is expected, or whether it's stateful. The phrase 'Simulates a real interview experience' is marketing filler rather than actionable behavioral detail.

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?

Two short sentences with zero waste, front-loading the core action. Nothing extraneous.

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 tool with no annotations, no output schema, and an interactive simulation purpose, the description is incomplete. It doesn't say what to expect after calling (e.g., an interview session starts, questions are generated, results are stored), nor does it address state management or follow-up steps like retrieving a report. An agent would need to guess about the tool's lifecycle.

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 both parameters (job_id and interview_type with its enum) are fully documented in the schema. The description adds no parameter details beyond stating 'for a specific job,' so it adds little value. Baseline 3 is appropriate when the schema does the heavy lifting.

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+resource: 'Conduct an AI-powered mock interview for a specific job.' This distinguishes it from the related generate_interview_questions and get_mock_interview_report siblings, making the purpose clear. However, it doesn't explicitly name or differentiate itself against those siblings within the description.

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 offers no guidance on when to use this tool versus alternatives like generate_interview_questions or get_mock_interview_report. It implies a simulation context but provides no explicit when-to-use or when-not-to-use conditions.

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