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YangLang116

TrendRadar

by YangLang116

get_news_by_date

Retrieve news articles from multiple platforms filtered by date. Supports natural language date queries and platform selection for historical analysis.

Instructions

获取指定日期的新闻数据,用于历史数据分析和对比

Args: date_query: 日期查询,可选格式: - 自然语言: "今天", "昨天", "前天", "3天前" - 标准日期: "2024-01-15", "2024/01/15" - 默认值: "今天"(节省token) platforms: 平台ID列表,如 ['zhihu', 'weibo', 'douyin'] - 不指定时:使用 config.yaml 中配置的所有平台 - 支持的平台来自 config/config.yaml 的 platforms 配置 - 每个平台都有对应的name字段(如"知乎"、"微博"),方便AI识别 limit: 返回条数限制,默认50,最大1000 注意:实际返回数量可能少于请求值,取决于指定日期的新闻总数 include_url: 是否包含URL链接,默认False(节省token)

Returns: JSON格式的新闻列表,包含标题、平台、排名等信息

重要:数据展示建议 本工具会返回完整的新闻列表(通常50条)给你。但请注意:

  • 工具返回:完整的50条数据 ✅

  • 建议展示:向用户展示全部数据,除非用户明确要求总结

  • 用户期望:用户可能需要完整数据,请谨慎总结

何时可以总结

  • 用户明确说"给我总结一下"或"挑重点说"

  • 数据量超过100条时,可先展示部分并询问是否查看全部

注意:如果用户询问"为什么只显示了部分",说明他们需要完整数据

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_queryNo
platformsNo
limitNo
include_urlNo

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 covers key behaviors: natural language and date formats, default platforms from config, limit may return fewer, and token-saving options. It lacks details on errors or auth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is verbose, especially with lengthy advice on data presentation that could be shortened or moved to notes. The core purpose and parameters are clear but wordy.

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 complexity (4 parameters, no annotations, output schema exists), the description is comprehensive: covers parameter details, return behavior, and usage advice. No gaps.

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?

Schema description coverage is 0%, but the description fully explains each parameter: date_query formats, platforms defaults and source, limit behavior, and include_url purpose. Adds significant value beyond schema.

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 clearly states the tool retrieves news data for a specified date, used for historical analysis and comparison. It distinguishes from sibling 'get_latest_news' by focusing on date-specific data.

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 gives context on when to use (historical data) and includes detailed advice on data presentation and summarization. However, it does not explicitly mention alternatives or when not to use.

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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