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daxiak001

xiaoliu-mcp-guardian

by daxiak001

respond_to_user

Automatically check and fix AI messages before sending to users, ensuring responses are safe and appropriate.

Instructions

AI回复用户前必须调用此工具(自动检查和修复)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesAI要发送给用户的消息
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It mentions 'automatic check and repair', which hints at additional logic, but does not explain what checks or repairs occur, nor side effects or idempotency. This leaves gaps for the agent.

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 a single sentence that conveys the mandatory nature and the action. It is front-loaded with the critical instruction. It could be slightly more structured but is efficient.

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

Completeness3/5

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

With only one parameter and no output schema, the description is minimal. It does not explain what happens after the tool is called (e.g., confirmation, error handling) or elaborate on the 'automatic check and repair'. For a core interaction tool, more detail would improve completeness.

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?

The input schema has 100% coverage with a description for the 'message' parameter. The tool description adds no extra semantic meaning beyond what the schema already provides, so baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool's purpose: 'AI must call this tool before replying to the user'. It specifies the action (respond to user) and the resource (user message), and distinguishes from siblings (write_file, run_command, complete_task) which are different actions.

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

Usage Guidelines4/5

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

The description explicitly states when to use the tool: 'before replying to the user'. It implies mandatory usage, so no alternatives are needed. It does not provide explicit exclusions, but the context is clear.

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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