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JoJoStar56

TrendRadar MCP Server

by JoJoStar56

trigger_crawl

Manually trigger a crawl task to aggregate news from specified platforms. Optionally save results locally and include URLs to reduce token usage.

Instructions

手动触发一次爬取任务(可选持久化)

Args: platforms: 平台ID列表,如 ['zhihu', 'weibo'],不指定则使用所有平台 save_to_local: 是否保存到本地 output 目录,默认 False include_url: 是否包含URL链接,默认False(节省token)

Returns: JSON格式的任务状态信息,包含成功/失败平台列表和新闻数据

Examples: - trigger_crawl(platforms=['zhihu']) - trigger_crawl(save_to_local=True)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformsNo
include_urlNo
save_to_localNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes the action (trigger crawl) and parameters, but does not disclose side effects, prerequisites, or non-obvious behaviors beyond the basic functionality.

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-structured with Args, Returns, and Examples sections. It is clear but slightly verbose (e.g., '(可选持久化)' could be removed). Still, it efficiently conveys the essential information.

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?

Given the tool's simplicity (3 optional params), the description covers the core functionality and provides examples. It lacks information on error handling or authentication, but the output schema is mentioned. Overall, it is adequate for typical use.

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

Parameters5/5

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

The description explains all three parameters (platforms, save_to_local, include_url) with context beyond the schema, such as default behavior ('不指定则使用所有平台') and reasons ('节省token'). This compensates for the lack of schema descriptions.

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 states '手动触发一次爬取任务' (manually trigger a crawl task), which is a specific verb+resource. It clearly distinguishes from sibling tools like get_latest_news or search_news, which retrieve data, while this triggers the crawl.

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

Usage Guidelines3/5

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

Usage is implied but not explicitly stated. The description provides examples but does not say when to use this tool versus alternatives, nor does it mention when not to use it.

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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