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if530770

redfox-mcp-server

by if530770

wechat-channels-crawler

Search WeChat Channels for hot videos by keyword, then sort by newest, likes, favorites, or comprehensive ranking to analyze content performance in a structured table.

Instructions

视频号作品查询工具。根据用户输入的关键词搜索视频号热门作品,支持按最新、最多点赞、最多收藏和综合排序,结果以结构化表格展示。当用户想要查找视频号热门内容、搜索视频号爆款视频、查询视频号作品数据、了解某类内容在视频号的表现时使用。触发词包括:视频号搜索、视频号作品查询、视频号爆款、视频号热门、视频号内容搜索、搜视频号、微信视频号搜索。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNopage
sizeNosize
sortNosort
keywordYeskeyword

Schema Changelog

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

  1. First observedv1.0.4

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the disclosure burden. It reveals that the tool searches by keyword, supports multiple sort orders, and returns results as a structured table. However, it does not mention pagination behavior, data limits, freshness, or any constraints of the crawler.

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?

The description is well organized: it opens with the tool's core purpose, then explains supported behavior and output, followed by clear use cases and trigger words. The trigger-word list adds routing value without being overly verbose.

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

Completeness2/5

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

There is no output schema and no annotation coverage, so the description must fully explain how to call the tool correctly. It leaves page/size semantics unspecified, does not map sort modes to parameter values, and only vaguely describes the return as a structured table.

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 coverage is 100%, but each parameter description is tautological ('keyword', 'sort', 'size', 'page'). The description adds meaning for keyword and sort dimensions, but it does not specify exact sort values or the units/ranges for page and size.

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 states a specific verb and resource: searching WeChat Channels (视频号) works by keyword, with sorting modes and structured table output. It is distinguishable from generic wechat-search by focusing specifically on Channels video data, though it does not explicitly name sibling tools.

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 description provides explicit when-to-use scenarios: finding hot content, searching viral videos, querying video data, or understanding content performance on WeChat Channels. It includes trigger words to help route intent, though it does not state when not to use it or name 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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