处理对方修改建议
respond_cooperation_proposal用户查看原文、建议、理由后明确ACCEPT或REJECT才调用,必须说明理由。接受产生新版本,旧确认不对新版本生效。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | ||
| reason | Yes | ||
| requestId | Yes | ||
| proposalId | Yes |
respond_cooperation_proposal用户查看原文、建议、理由后明确ACCEPT或REJECT才调用,必须说明理由。接受产生新版本,旧确认不对新版本生效。
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | ||
| reason | Yes | ||
| requestId | Yes | ||
| proposalId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and does disclose meaningful side effects: acceptance creates a new version and previously given confirmations no longer apply to it. It also states that a reason is mandatory in both cases. It says nothing about permissions, what REJECT leaves behind, or whether the counterpart is notified.
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?
Two short sentences, and the hard precondition is front-loaded before the side-effect note. Every clause carries information an agent would not get from the schema alone.
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 four-parameter mutation tool with no annotations and no output schema, the description covers the safety gate and the version side effect well. It is incomplete on parameter disambiguation, specifically what requestId and proposalId identify, which an agent needs in order to call it correctly without guessing.
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 0%, so the description must compensate. It adds meaning for two of four parameters: action is constrained to an explicit user decision of ACCEPT or REJECT, and reason is stated as required. It gives no explanation of requestId versus proposalId, which is the most likely source of a wrong call given the shared $ref type.
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 states a concrete action on a concrete resource: respond to a cooperation proposal with ACCEPT or REJECT and a mandatory reason. The phrase '查看原文、建议、理由' clarifies this handles a counterpart's proposed change, so the intent is legible. It stops short of distinguishing itself from nearby siblings such as respond_cooperation_request or confirm_cooperation_version.
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?
It gives an explicit gate: 'only call after the user has viewed the original text, the proposal, and the reason and explicitly stated ACCEPT or REJECT.' That is a real when-to-use condition rather than an implied one. It names no alternatives, however, so an agent is not told which sibling to use for counter-proposing or confirming a version.
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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