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独行录 / opcmenu

我的合作目标与待办

get_my_work
Idempotent

【需要登录】查看独行录合作目标、待我做/我派出的任务、待回应合作邀请。任务保留目标与指派人,便于持续跟进。目标列表最多返回 limit 条并给总数,goalOffset 按 nextOffset 翻页(只影响目标列表);任务 reachingLimit=true 时可能还有,按 goalId 调 list_collaboration_tasks 查看。邀请最多 50 条。读任务会幂等补齐周期任务的期次,故不是纯只读。不会读取或标记安排。下一步:get_collaboration_goal 看目标详情;set_collaboration_task_status 回报进展;respond_collaboration_invite 回应邀请;安排另用 get_my_dispatch。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
goalOffsetNo
includeArchivedNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

The description discloses a non-obvious side effect not fully captured by annotations: '读任务会幂等补齐周期任务的期次,故不是纯只读' — reading tasks idempotently fills recurring task periods, so this is not purely read-only. It also states the tool will not read or mark arrangements, and explains pagination and limits. This aligns with readOnlyHint=false and idempotentHint=true, adding meaningful detail beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but every clause earns its place: purpose, pagination behavior, side effects, exclusions, and next-step routing. It is front-loaded with the core purpose, and the spatial separation of concerns makes the complexity navigable without redundancy.

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?

Despite having no output schema, the description covers the key return behaviors: goal list limits and totals, nextOffset pagination, task reachingLimit and follow-up via list_collaboration_tasks, invite caps, side effects, and exclusions. It also notes login requirements. This is enough for an agent to select and invoke the tool correctly; the only minor gap is the undocumented includeArchived parameter.

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 description coverage is 0%, so the description must compensate. It does explain limit and goalOffset meaningfully: the goal list returns at most limit entries with a total, and goalOffset uses nextOffset for pagination and only affects the goal list. However, includeArchived is not mentioned at all, leaving one of the three parameters undocumented.

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 a specific verb ('查看') and clear resources: collaboration goals, tasks pending on me or dispatched by me, and invites awaiting response. It also distinguishes itself from siblings by explicitly saying arrangements should use get_my_dispatch and goal details should use get_collaboration_goal, which prevents confusion with the many sibling get_* tools.

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?

The description gives explicit routing guidance: when tasks have reachingLimit=true, call list_collaboration_tasks by goalId; for goal details use get_collaboration_goal; for progress reporting use set_collaboration_task_status; for invites use respond_collaboration_invite; for arrangements use get_my_dispatch. This directly tells the agent when to use this tool versus alternatives.

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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TDQS

A4.1/5.0
Disambiguation4/5

Each tool has a clearly documented purpose, often with explicit 'when to use' guidance and cross-references, making the vast majority easy to tell apart. A few clusters (get_my_brief, get_my_positioning, get_my_work, get_my_dispatch) and data-overlapping get_my_card vs get_my_profile require careful reading, but descriptions are detailed enough to prevent serious misselection.

Naming Consistency4/5

The overwhelming majority follow snake_case verb_noun conventions (create_product, update_need, list_my_signups). Minor deviations include noun-only feed names (personalized_feed, random_feed), inconsistency between 'prefs' and 'preferences' in notification tools, and a mix of update_* and set_* for mutations, but the pattern remains predictable overall.

Tool Count1/5

137 tools is an extreme mismatch for any MCP server, far exceeding the 50+ threshold for a score of 1. Even with a broad multi-domain platform, this volume makes tool selection and navigation impractical and heavily burdens the agent's context window.

Completeness5/5

The surface covers full lifecycles for needs, products, activities/signups, conversations, collaboration goals/tasks, dispatch, profile/onboarding, and supporting resources like companies, parks, policies, and ratings. Deliberate omissions (no user-post creation, no organizer profile editing via agent) are explicitly documented, so core workflows have no obvious dead ends.

Resources