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独行录 / opcmenu

列官方内容流

list_posts
Read-onlyIdempotent

独行录的官方内容流:每日发现选品、创业大赛机会、园区与政策资讯。

【何时用】用户想看「最近站里推了什么」「有哪些新的创业大赛机会」时;也可以传 attachType+attachId 查挂在某产品/活动/园区上的相关内容。

【重要口径——别说成社区】这不是用户社区:站内没有用户发帖入口(App 的动态 tab 已换成产业链),流里几乎全是系统生成的官方内容。别向用户描述成「大家在聊什么」,也别建议用户「去发个动态」——没有那个入口。

【feed】recommend(默认)| following(只看我关注的人,需登录;因为几乎没有用户帖,这个流通常是空的)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
feedNorecommend 推荐流(默认)| following 关注流(需登录,没关注任何人则空)
limitNo返回条数,默认 20
topicNo话题过滤
cursorNo分页游标 nextCursor
attachIdNo相关动态的对象 id,与 attachType 配对
authorIdNo只看某主理人的动态(用户 id)
attachTypeNo相关动态:挂在某对象上,与 attachId 配对

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already mark the tool read-only/idempotent/non-destructive, and the description adds non-obvious behavior: the feed contains almost no user-generated posts, there is no user posting entry, following requires login and is usually empty. This prevents an agent from misdescribing the feed as a community. No contradictions with 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 well structured with bold headers, a when-to-use section, a critical semantic caveat, and feed options. Every sentence adds needed context; there is no filler or repetition of schema fields.

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 read-only list tool with 100% schema coverage and safety annotations, the description covers usage context, feed semantics, auth requirement, and the critical community-vs-official distinction. Nothing an agent needs to select and invoke it correctly is missing.

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. The description adds semantic value by explaining the attachType+attachId pairing for finding content attached to a product/activity/park, and clarifies that following is usually empty because there are few user posts. It does not elaborate on limit/cursor/topic, but those are already documented in the schema.

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 identifies the resource as the official content stream (官方内容流) containing daily product picks, startup competition opportunities, park and policy info. It differentiates this from a user community feed, which helps distinguish it from sibling feed tools, but it never names an alternative explicitly and lacks a direct verb statement in the description itself (the verb only appears in the title).

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 explicitly states when to use: when the user wants recent site recommendations or new startup competition opportunities, and when passing attachType+attachId. It also gives a strong when-not warning (do not describe as community, no posting entry). However, it does not mention alternative sibling tools by name, so routing between feeds is partly left to inference.

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