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search_news

Search aggregated news hot lists and RSS feeds across platforms using keyword, fuzzy, or entity matching, with date and platform filters.

Instructions

统一搜索接口,支持多种搜索模式,可同时搜索热榜和RSS

建议:使用自然语言日期时,先调用 resolve_date_range 获取精确日期范围。

Args: query: 搜索关键词或内容片段 search_mode: 搜索模式 - "keyword": 精确关键词匹配(默认) - "fuzzy": 模糊内容匹配 - "entity": 实体名称搜索(人物/地点/机构) date_range: 日期范围,格式 {"start": "YYYY-MM-DD", "end": "YYYY-MM-DD"},默认今天 platforms: 平台ID列表,如 ['zhihu', 'weibo'],不指定则使用所有平台 limit: 热榜返回条数限制,默认50 sort_by: 排序方式 - "relevance"(相关度)/ "weight"(权重)/ "date"(日期) threshold: 相似度阈值(仅fuzzy模式),0-1,默认0.6 include_url: 是否包含URL链接,默认False include_rss: 是否同时搜索RSS数据,默认False rss_limit: RSS返回条数限制,默认20

Returns: JSON格式的搜索结果,包含热榜新闻列表和可选的RSS结果

Examples: - search_news(query="AI") - search_news(query="AI", include_rss=True) - search_news(query="特斯拉", date_range={"start": "2025-01-01", "end": "2025-01-07"})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
sort_byNorelevance
platformsNo
rss_limitNo
thresholdNo
date_rangeNo
include_rssNo
include_urlNo
search_modeNokeyword

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses defaults (date_range=today, limit=50, threshold=0.6), mode-specific behavior (threshold only for fuzzy), return format (JSON with hotlist and optional RSS), and platform handling (default all platforms). It does not mention rate limits or side effects, but such are not critical for a search tool.

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: a one-line summary, a usage tip, a comprehensive Args list, Returns, and Examples. It is detailed due to 10 parameters but every sentence adds value; no fluff or redundancy.

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?

Given the tool's complexity (10 params, no annotations), the description covers all parameters, return structure, and usage examples. The presence of an output schema also means return values need not be over-explained, and the description is sufficient for an agent to select and invoke the tool correctly.

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 input schema has no parameter descriptions (0% coverage), so the description fully compensates by detailing every parameter: valid search_mode values, date_range format, platforms as list, sort_by options, threshold semantics, and boolean flags. Examples further clarify usage.

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 opens with '统一搜索接口,支持多种搜索模式,可同时搜索热榜和RSS', which clearly states a specific verb (search), resource (unified interface for hotlists and RSS), and differentiates from siblings like search_rss by emphasizing both sources and multiple modes.

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?

It provides explicit guidance to call resolve_date_range for natural language dates, addressing a common prerequisite. It also implies usage for combined hotlist/RSS searches, though it does not explicitly exclude alternatives like search_rss for RSS-only queries.

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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