boss_ai_chat_coach

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

No annotations are provided, so the description carries the full burden. It describes the core behavior (analysis plus generated suggestions/templates) and uses '给出' rather than '发送', implying it does not send messages. But it does not disclose read-only status, data handling, or limitations such as minimum chat history length.

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 compact and front-loaded, with the availability bracket adding useful role/platform context. The duplicated '可用性: 可用性:' is a minor flaw, but overall the description is efficient and earns its place.

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?

The trigger and expected outputs are present, and the availability information constrains usage to specific roles/platforms. However, with no output schema and no annotations, the return format is unspecified, and no guidance is given for choosing this over closely-related siblings.

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 baseline 3 applies. The description adds no extra parameter-level detail and merely reinforces chat_text as the central input. No enums or nested objects require additional explanation.

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 uses a specific verb ('诊断') and resource ('聊天记录'), and names concrete outputs: next-step action suggestions and ready-made message templates. This clearly separates it from sibling tools like resume optimization or interview prep.

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?

Usage context is implied: use when the user wants communication diagnosis and message templates based on chat history. However, it never names alternatives or exclusion conditions, so with many similar sibling tools (boss_chat_summary, boss_ai_reply, boss_ai_optimize) the agent is left to infer when this is the correct choice.

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