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hanweiit007

HotNews MCP Server

by hanweiit007

get_hot_news

Fetch trending topics and heat indices from Chinese social media and news platforms like Weibo, Zhihu, and Bilibili to monitor popular discussions and news.

Instructions

Get hot trending lists from various platforms

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourcesYesAvailable HotNews sources (ID: Platform): {ID: 1, Platform: "Zhihu Hot List (知乎热榜)"}, {ID: 2, Platform: "36Kr Hot List (36氪热榜)"}, {ID: 3, Platform: "Baidu Hot Discussion (百度热点)"}, {ID: 4, Platform: "Bilibili Hot List (B站热榜)"}, {ID: 5, Platform: "Weibo Hot Search (微博热搜)"}, {ID: 6, Platform: "Douyin Hot List (抖音热点)"}, {ID: 7, Platform: "Hupu Hot List (虎扑热榜)"}, {ID: 8, Platform: "Douban Hot List (豆瓣热榜)"}, {ID: 9, Platform: "IT News (IT新闻)"} Example usage: - [3]: Get Baidu Hot Discussion only - [1,3,7]: Get hot lists from zhihuHot, Baidu, and huPu - [1,2,3,4]: Get hot lists from zhihuHot, 36Kr, Baidu, and Bilibili
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'Get' which implies a read operation, but doesn't disclose behavioral traits like rate limits, authentication needs, response format, pagination, or error handling. For a tool with no annotations, this is a significant gap in transparency.

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 a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core purpose and appropriately sized for its simple role, with every word earning its place.

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?

Given no annotations, no output schema, and a single parameter with full schema coverage, the description is incomplete. It doesn't explain what the tool returns (format, structure of trending lists), potential limitations, or behavioral context. For a data retrieval tool, this leaves significant gaps in understanding.

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%, with the schema providing detailed documentation of the 'sources' parameter including IDs, platforms, and examples. The description adds no additional parameter semantics beyond what's in the schema, so it meets the baseline of 3 for high schema coverage.

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 verb 'Get' and resource 'hot trending lists from various platforms', making the purpose understandable. It's specific about what content is retrieved (trending lists) and from where (various platforms). However, without sibling tools, we cannot assess differentiation, so it cannot achieve a perfect 5.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, prerequisites, or constraints. It simply states what the tool does without context about timing, frequency, or comparison to other methods. This leaves the agent without usage direction.

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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