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独行录 / opcmenu

列活动

list_activities
Read-onlyIdempotent

查活动列表(线上/线下聚会、讲座、demo day、内测招募,以及 COMPETITION 创业大赛/外部机会)。支持按类型、城市过滤,仅看未来场次,游标分页。

【何时用】用户问「最近有什么活动」「下周有没有线下聚会」「上海有什么创业大赛/机会」时。找大赛/机会用 type=COMPETITION + city。upcomingOnly=true 是大部分情况下你想要的。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNo按城市筛选(主要给 COMPETITION 大赛/机会用),如 北京/上海/深圳/杭州/广州/成都/全国
typeNo活动类型:BETA_RECRUIT(内测招募)|ONLINE_GATHERING(线上聚会)|OFFLINE_GATHERING(线下聚会)|COMPETITION(创业大赛/外部机会)|OTHER;不传则不过滤
limitNo返回条数,默认 20
cursorNo分页游标
upcomingOnlyNo只返回未来场次,默认 false

Schema Changelog

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

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior. The description adds useful behavioral context by specifying the supported filter dimensions, cursor pagination, and the upcoming-only option. No contradictions or hidden side effects are present.

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 compact, front-loaded with the core purpose, and organized with a clear 'when to use' section. Every sentence carries functional value, and the structure makes it easy to parse quickly.

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

Completeness4/5

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

For a read-only list tool with well-documented schema parameters and clear usage triggers, the definition is largely complete. It covers filtering, pagination, and user-intent mapping. The lack of an output schema is not compensated by a description of the return shape, but this is a minor gap given the list-query nature and existing annotations.

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?

The schema already describes all 5 parameters at 100% coverage. The description adds meaningful usage guidance beyond the schema, notably that COMPETITION should be paired with city, and that upcomingOnly=true is the common expectation. This elevates it above the baseline 3.

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 clearly states the tool queries an activity list, enumerates the content categories (线上/线下聚会、讲座、demo day、内测招募、COMPETITION), and explains available filters. It does not explicitly differentiate from sibling list tools like list_my_activities, but the plural list scope and COMPETITION/city focus make its purpose reasonably distinct.

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

Usage Guidelines4/5

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

The 【何时用】 section gives concrete user intents that should trigger this tool, such as '最近有什么活动' and '上海有什么创业大赛/机会', and recommends upcomingOnly=true for most cases. It lacks explicit exclusions or references to alternative sibling tools, but the provided triggers are actionable and context-rich.

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