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 the full behavioral burden. It conveys the generative intent but says nothing about permissions, cost, whether resume customization requires an existing resume, or what the output looks like. For a generation tool with zero annotation coverage this is a real gap.

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 purpose is front-loaded in a single tight sentence, with the resume-customization parenthetical and the availability tag appended. Nothing is wasted, though the doubled '可用性: 可用性:' repetition is slightly sloppy.

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 3-parameter generation tool with full schema coverage and no output schema, the description covers the core intent adequately. It stops short of describing the shape or volume of generated output, which an agent planning a call would find useful.

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 the count default and the resume/jd_text params are already documented in the schema. The description adds only a hint that resume enables customized questions, matching the baseline 3 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?

The description names a specific verb+resource: generating mock interview questions and preparation advice from a target job description, with optional resume-based customization. This clearly distinguishes it from JD-analysis siblings like boss_ai_analyze_jd, though it never names an alternative explicitly.

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 guidance or named alternative. The availability tag (roles=candidate; candidate_platforms=zhipin) does give contextual scoping about who may invoke it, which is useful, but the agent is left to infer when this beats boss_ai_chat_coach or boss_ai_fit.

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