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boss_ai_chat_coach

Analyzes chat conversations to diagnose communication status and provides actionable next steps with ready-to-use message templates.

Instructions

基于聊天记录诊断沟通状态并给出下一步行动建议与现成消息模板 [可用性: 可用性: roles=candidate; candidate_platforms=zhilian, zhipin; recruiter_platforms=-]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chat_textYes聊天记录文本
resumeNo参考简历名称(可选)
styleNo沟通风格偏好(如 简洁专业/积极主动/谨慎稳重)简洁专业
Behavior3/5

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

No annotations provided, so description carries full burden. It explains the tool analyzes and provides output, but does not disclose side effects, data handling, or API dependencies. Adequate but not thorough.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a single main sentence. The appended availability info adds slight clutter but does not significantly harm clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description hints at return values (suggestions and templates). For a 3-parameter tool with one required, it provides sufficient context for an AI agent to understand core functionality.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents each parameter. The tool description adds minimal extra meaning beyond what the schema provides, so baseline score is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool diagnoses communication status from chat records and provides suggestions and templates. It distinguishes from many sibling tools, but does not explicitly differentiate from similar AI tools like boss_ai_reply or boss_ai_suggest.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description lacks guidance on when to use this tool versus alternatives. It includes availability information but no explicit when/when-not usage context.

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

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