boss_ai_optimize

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

The description explicitly states the operation is non-destructive ('不直接写回磁盘'). However, with no annotations, it lacks details on authorization requirements, side effects, or whether the original resume is modified in memory.

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 description is a single concise sentence that front-loads the core action. No redundant phrases, every word is informative.

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?

Given the simple input schema (two strings) and no output schema, the description adequately explains the tool's purpose and output format ('优化后结构'). It could mention the output format more explicitly, but it is sufficient for a straightforward AI optimization 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%, and the schema descriptions are basic ('简历名称', '目标职位描述'). The description adds no additional semantics beyond what the schema provides, so the baseline score of 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 clearly states the tool optimizes a resume based on a job description and outputs the optimized structure without writing to disk. This distinguishes it from sibling tools like boss_ai_analyze_jd (analysis) and boss_ai_suggest (suggestions).

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 provides no guidance on when to use this tool versus alternatives like boss_ai_suggest. It does not mention prerequisites, limitations, or typical use cases.

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