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回应合作邀请

respond_collaboration_invite

【需要登录】回应 get_my_work 返回的本人定向合作邀请。接受会加入目标并向合作人公开参与关系;婉拒后邀请不再待处理。结果不明或超时后先查询现值,不要自动重发;服务没有持久请求去重键。 接受后用 get_collaboration_goal 核对,待回应列表用 get_my_work。

Input Schema

NameRequiredDescriptionDefault
acceptYes
inviteIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior3/5

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

The annotations only declare destructiveHint=false, so the description adds meaningful context: the accept branch mutates state by joining the goal and disclosing the participation relationship to the collaborator, and there is no persistent request dedup key, so retries are unsafe. However, it does not describe permission requirements beyond the login gate or the shape of the response, leaving the mutation profile partly implicit.

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?

It is dense but front-loaded, starting with the login gate and the action, then the outcome branches, then the retry warning and verification tools. Every sentence carries operational value; the only cost is that the retry/dedup guidance is packed tightly enough to read as a run-on.

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

Completeness5/5

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

For a two-parameter mutation with no output schema and only a single annotation, the description covers everything an agent needs: authentication prerequisite, the side effects of each branch, the absence of dedup and the safe recovery path, and the follow-up verification tools.

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

Parameters4/5

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

Schema coverage is 0% and the schema gives no descriptions, but the description compensates by explaining what the boolean accept actually does in each branch (join + disclose vs. clear pending) and by locating inviteId's source via get_my_work. It stops short of stating the inviteId format or validity scope.

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 names the specific action (responding to a personal-directed collaboration invite) and its source (get_my_work), and spells out both outcome branches: accept joins the goal and exposes the participation relation; decline clears the pending state. This distinguishes it clearly from siblings like cancel_collaboration_invite or respond_cooperation_request.

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

Usage Guidelines5/5

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

It explicitly says where the invite comes from (get_my_work), what to do after an unclear result or timeout (query current state, do not auto-resend, because there is no idempotency key), and which tools to verify with afterward (get_collaboration_goal). Alternatives and exclusion conditions are all named rather than inferred.

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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