生成面试题库

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 does disclose the structure of the generated content (six categories plus TOP5 and coping strategies), which is genuine value. But it says nothing about determinism, whether results are persisted, whether a saved resume is required, or the shape of the response, leaving real gaps for a no-annotation tool.

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?

A single well-formed sentence that front-loads the core action and then lists deliverables. Dense but every clause conveys a real content category. Slightly list-heavy, but no wasted prose.

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 output schema and no annotations, the description does partially compensate by describing the generated content. However, it omits the return format, whether output is persisted, and how the 'resume' input referenced in the text is actually supplied, given the schema exposes only jdText. Adequate but with clear gaps.

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 count, level, and jdText are already documented in the schema. The description mentions basing output on JD and resume, but 'resume' is not an input parameter, and it adds no semantics for count or level beyond what the schema states. Baseline 3 applies.

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 (生成结构化面试题库) and enumerates the coverage areas (基础原理, 项目深挖, 领域专项, 工程化, 安全, 软技能) plus extra deliverables (TOP5, 应对策略). This is far more concrete than a tautology. However, it does not differentiate from the very similar sibling generate_interview_question, which an agent could easily confuse it with.

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 statement of when to use this tool versus alternatives such as generate_interview_question or mock_interview_start, and no prerequisites are given. Usage must be inferred purely from the name and content list.

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