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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——别和消息圈混】这里几乎全是系统生成的官方内容,不是用户动态。用户自己发的进展、资源、想法在消息圈:看大家在说什么用 list_moments_feed / search_moments,替用户发一条用 publish_moment。

【feed】recommend(默认)| following(只看我关注的人,需登录;这个流里几乎没有用户帖,通常是空的——想看关注的人在说什么用 list_moments_feed)。

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.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, so the safety profile is covered. The description adds real behavioral context beyond that: the feed is almost entirely system-generated rather than user content, and the `following` stream requires login and is usually empty. It stops short of describing pagination behavior, but that is minor against the strong annotation coverage.

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?

Front-loaded with purpose, then bracketed sections for usage, the moments-vs-official distinction, and the feed enum. Structure is excellent and each section earns its place, though list_moments_feed is named twice and the feed note slightly overlaps the earlier 口径 block.

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 7-parameter read tool with no output schema, the description explains what the stream contains and how to scope it, which is what an agent needs to call it correctly. Pagination (cursor/nextCursor) is left to the schema but the schema already fields it, so the overall picture is complete.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all seven parameters, including the enum values for `feed` and `attachType`. The description only reinforces the attachType+attachId pairing and the default feed — useful but largely duplicative, so the baseline 3 applies rather than a boost.

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 and resource (官方内容流 / official content feed) and enumerates its contents — daily featured products, startup competition opportunities, park and policy news. It explicitly distinguishes itself from the sibling moments tools (list_moments_feed / search_moments / publish_moment), so an agent can route without ambiguity.

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 【何时用】 block gives explicit triggering conditions ('user wants to see what was recently pushed', 'new competition opportunities'), and the 【重要口径】 block supplies a when-not rule plus named alternatives. It also clarifies the attachType+attachId use case (querying content attached to a product/activity/park).

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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