boss_ai_interview_prep

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

No annotations are provided, so the description carries full burden. It only states the tool generates questions and suggestions but does not disclose any behavioral traits such as whether it is read-only, destructive, or requires specific permissions. For a generative tool, this is insufficient.

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?

Single sentence covering key functionality (based on JD, generate questions and suggestions, with resume support). Efficient but could be more structured with separating purpose and options.

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?

No output schema, so description should explain return format. It does not describe what the generated questions and suggestions look like, or include examples. Parameter count is moderate (3), but lacks completeness for a content-generation tool.

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 coverage is 100% (all parameters described). The description adds 'supports resume reference for customized questions' which aligns with the optional resume parameter but does not add syntax or format details beyond the schema. Baseline 3 is appropriate.

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 tool generates mock interview questions and preparation suggestions based on a job description, with optional resume customization. This distinguishes it from sibling tools like boss_ai_analyze_jd (analyzes JD) and boss_ai_chat_coach (likely coaching chat).

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 implies usage when interview prep based on a JD is needed but does not explicitly state when to use this tool vs alternatives like boss_ai_chat_coach or boss_ai_optimize. No exclusions or context provided.

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