boss_ai_interview_prep

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It does not mention that the tool is read-only (no mutations), what the output format is, whether it requires authentication, or any side effects. It simply states it generates content, which is a minimal behavioral trait. Since it doesn't contradict annotations (none provided), it's low but not contradictory.

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 core functional sentence is concise and front-loaded. The appended availability note adds some length but is structured as a bracket after, so it doesn't clutter the main purpose. Overall it's efficient, though the availability note is a minor distraction.

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?

This is a content-generation tool with no output schema. The description does not explain what the tool returns (e.g., list of questions, suggestions, format, length). It also doesn't mention any prerequisites, constraints, or error conditions. For an agent to correctly invoke and use the result, the return format is critical, and it's absent. The description is clearly incomplete.

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%, so the baseline is 3. The description adds value by explaining that the resume parameter is optional and used to customize the questions, which goes beyond the schema's bare 'reference resume name'. It doesn't add context for count or jd_text, but the one added insight pushes it above baseline.

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's function: generate mock interview questions and preparation suggestions based on a target job description, with optional resume-based customization. The verb 'generate' and resource are specific, and it's obvious this is a content-generation tool. However, it doesn't distinguish between siblings like boss_ai_analyze_jd or boss_ai_chat_coach, so it's clear but not differentiated.

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?

No guidance is provided on when to use this tool versus the many sibling AI tools. It doesn't mention scenarios, alternatives, or exclusions. The availability note (candidate roles, specific platforms) gives context about who can use it but not when it's the right choice among similar tools.

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