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by SsdSalesman

resolve_date_range

Resolves natural language date expressions like 'this week' or 'last 7 days' into precise date ranges for consistent downstream analysis.

Instructions

【推荐优先调用】将自然语言日期表达式解析为标准日期范围

为什么需要这个工具? 用户经常使用"本周"、"最近7天"等自然语言表达日期,但 AI 模型自己计算日期 可能导致不一致的结果。此工具在服务器端使用精确的当前时间计算,确保所有 AI 模型获得一致的日期范围。

推荐使用流程:

  1. 用户说"分析AI本周的情感倾向"

  2. AI 调用 resolve_date_range("本周") → 获取精确日期范围

  3. AI 调用 analyze_sentiment(topic="ai", date_range=上一步返回的date_range)

Args: expression: 自然语言日期表达式,支持: - 单日: "今天", "昨天", "today", "yesterday" - 周: "本周", "上周", "this week", "last week" - 月: "本月", "上月", "this month", "last month" - 最近N天: "最近7天", "最近30天", "last 7 days", "last 30 days" - 动态: "最近5天", "last 10 days"(任意天数)

Returns: JSON格式的日期范围,可直接用于其他工具的 date_range 参数: { "success": true, "expression": "本周", "date_range": { "start": "2025-11-18", "end": "2025-11-26" }, "current_date": "2025-11-26", "description": "本周(周一到周日,11-18 至 11-26)" }

Examples: 用户:"分析AI本周的情感倾向" AI调用步骤: 1. resolve_date_range("本周") → {"date_range": {"start": "2025-11-18", "end": "2025-11-26"}, ...} 2. analyze_sentiment(topic="ai", date_range={"start": "2025-11-18", "end": "2025-11-26"})

用户:"看看最近7天的特斯拉新闻"
AI调用步骤:
1. resolve_date_range("最近7天")
   → {"date_range": {"start": "2025-11-20", "end": "2025-11-26"}, ...}
2. search_news(query="特斯拉", date_range={"start": "2025-11-20", "end": "2025-11-26"})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expressionYes

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 server-side time calculation, supported expression formats, and the exact JSON return structure. It does not mention error handling or timezone behavior, which prevents a perfect score.

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 well-structured with headers and code blocks but is very long and repetitious. The recommended flow example appears twice (once in the flow and once in Examples), and the 'why' section adds length. While informative, it could be more concise.

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?

For a tool with a single parameter and a clear output schema, the description is exceptionally complete. It covers purpose, usage, parameter details, return format, and even integration steps with other tools. No significant missing context for an agent to use it 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 only defines 'expression' as a string with no description. The description compensates fully by listing all supported natural language patterns (today, this week, last 7 days, dynamic numbers) and providing usage examples, adding substantial meaning beyond the 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 opens with '将自然语言日期表达式解析为标准日期范围' which clearly specifies the verb (parse) and resource (natural language date expressions to target date range). It differentiates from sibling tools by focusing on resolving expressions rather than fetching news or data by date.

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 includes a '推荐使用流程' that explicitly instructs when to call the tool (before other tools like analyze_sentiment and search_news) and why (ensures consistent date calculations). However, it does not state explicit exclusions such as 'if user already provides exact dates, use directly'.

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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