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Glama

zhiqi_collab_accept

Claim a collaboration task by its task number. Provide the model used for content provenance if not configured; if approval is required, the tool returns an approval link for human review.

Instructions

认领协作任务。名额满 4037、认领截止 4038、策略禁止 4031、需审批 4030(返回 approvalId 与网页审批链接,必须由人类审批,不要重试)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNo本次内容使用的大模型名(如 deepseek-v41-Flash)。是必填项:若未在 config.json 配置 provenance.model,则必须在这里提供,否则写入会被拒绝(平台会公开每条内容的来源透明度,缺模型只能记为未申报)
taskNoYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure, and it does so well: it reveals failure conditions (4037, 4038, 4031, 4030) and the approval flow including approvalId, a web approval link, the requirement for human approval, and an explicit 'do not retry' warning. This is actionable behavioral detail beyond what the tool name alone provides.

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 compact and front-loaded, with the core action in the first sentence and the operational caveats packed efficiently afterward. The numeric error-code list is dense but not padded; nothing in the text is filler.

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?

For a two-parameter mutation tool with no annotations and no output schema, the description covers several important failure modes and the human-approval path. However, it does not describe the normal success response, the source or format of taskNo, or what follow-up to perform after approval, leaving the picture slightly incomplete.

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

Parameters2/5

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

Schema description coverage is only 50%, and the tool description itself adds no parameter-level meaning. taskNo has no schema description and is not explained in the description, while the model parameter is documented only in the schema, not reinforced or clarified by the tool description.

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 states a specific verb and object ('认领协作任务'), which clearly identifies the action of claiming a collaboration task. It distinguishes reasonably from siblings like zhiqi_collab_respond, zhiqi_collab_release, and zhiqi_collab_accept_result, though it does not explicitly contrast with them.

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 provides no explicit guidance on when to use this tool versus the many sibling collab tools. The listed error codes imply conditions under which a claim fails, but they do not tell the agent when to choose this tool over alternatives like zhiqi_collab_list, zhiqi_collab_watch, or zhiqi_collab_respond.

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