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列我的需求

list_my_needs
Read-onlyIdempotent

【需要登录】列出当前用户发布的需求(现行状态只有 OPEN / CANCELLED;IN_PROGRESS / COMPLETED / EXPIRED 仅历史遗留数据——完成态记在每条承接(claim)上,需求不因某条承接完成而关单),时间倒序、游标分页。编辑 / 下架 / 取消 / 拉推荐之前先用它拿 needId;查某条承接是否完成用 get_conversation_needs 看 claim 状态,别按 status=COMPLETED 过滤。信息流里不会出现自己的需求,盘点自己的一律走这里。

【下架 ≠ 改状态】手动下架只把需求移出信息流,status 仍是 OPEN——判据是每条返回里的 displaying 布尔(服务端按服务器时钟算好的),别拿 status 猜。只想看还在展示的传 displaying=true。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo按类型过滤:EXPERIENCE(寻找产品/作品) | QA(答疑求助) | RESOURCE(介绍资源) | COLLAB(寻求合作) | FINANCING(融资需求) | CHAT(找人聊聊找灵感) | GIG(兼职招募) | OTHER(其它)
limitNo返回条数,默认 20
cursorNo分页游标 nextCursor
statusNo按状态过滤:OPEN|CANCELLED(IN_PROGRESS/COMPLETED/EXPIRED 仅历史遗留数据);不传则全部
displayingNotrue=只看还挂在信息流里的;false=只看我手动下架的;不传=全部。下架不改 status,只能靠这个分

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?

Annotations already mark this as read-only, idempotent, and non-destructive, so the bar is lower, but the description adds substantial behavioral context: login is required, status semantics are clarified, completion is tracked on claims rather than needs, and the displaying boolean is computed server-side by server clock. It also explains that manual unpublishing does not change status, a non-obvious behavior that could easily be misused.

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 sentence carries information: scope, ordering, pagination, sibling routing, status-model warning, and the displaying distinction. The bold headers and structured warnings make it scannable. No filler or restatement of the name or title.

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?

Given the tool's complexity—non-obvious status semantics, a manual unpublish quirk, and overlap with several sibling tools—the description covers all needed operational context. It explains pagination via nextCursor, the displaying filter, and where to get needId. The absence of an output schema is mitigated by explicit mention of the key returned fields (needId, displaying, nextCursor).

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 100%, so the baseline is 3, but the description adds meaningful semantics beyond the schema: it explains that IN_PROGRESS/COMPLETED/EXPIRED are legacy, that status=OPEN remains after unpublishing, and that displaying must be used instead of status to determine whether an item is still in the feed. This goes beyond what the parameter descriptions alone convey, though the type/limit/cursor params are already well-documented in the schema.

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 states a specific verb and resource: list the current user's published needs, with ordering and pagination. It actively distinguishes itself from siblings by noting that the information feed never shows one's own needs and that this is the route for taking stock of one's own items. It also clarifies the status model, which prevents confusion with other need-related 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 when-to-use guidance: before editing, unpublishing, cancelling, or pulling recommendations, use this tool to obtain needId. It also names the alternative for checking claim completion (get_conversation_needs) and explicitly warns not to filter by status=COMPLETED, giving clear exclusion criteria. This is exemplary usage guidance.

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