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

With no annotations, the description carries the behavioral disclosure burden. It does state the tool returns reception copy and a suggested next action, and that writing requests are guided toward create_work. However, it does not explicitly state that the tool has no side effects or whether it merely suggests downstream actions versus automatically invoking them, leaving a small ambiguity.

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 reasonably concise and front-loaded with the role and purpose, followed by useful routing guidance. The intent list is somewhat long but earns its place by clarifying coverage. Minor redundancy with the tool name exists, but overall every sentence contributes.

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 one-parameter tool with no output schema, the description covers what the tool does, what it returns (reception copy and suggested next action), supported intents, and routing behavior. It lacks explicit detail about downstream invocation semantics, but is complete enough for an agent to invoke it correctly in most cases.

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%, so the schema already documents the only parameter user_message with examples. The description adds context about how the message is used for intent recognition, but does not add new parameter-level meaning beyond what the schema already provides. Baseline 3 is appropriate.

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 and resource: it processes any user message, recognizes intent, and returns a reception script plus suggested next action. It also distinguishes itself from siblings by declaring itself the unified entry point and explicitly routes writing needs to create_work, so an agent can tell it apart from the other tools.

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 gives explicit usage guidance: '所有用户消息都应优先调用本工具做意图识别，不要直接自由回答' clearly states when to use this tool and instructs the agent not to answer directly. It also names a concrete routing target (create_work) for writing-related requests, which helps choose between alternatives.

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