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YangLang116

TrendRadar

by YangLang116

generate_summary_report

Generate daily or weekly summary reports of trending hotspots. Optionally specify a custom date range to focus analysis.

Instructions

每日/每周摘要生成器 - 自动生成热点摘要报告

Args: report_type: 报告类型(daily/weekly) date_range: 【对象类型】 自定义日期范围(可选) - 格式: {"start": "YYYY-MM-DD", "end": "YYYY-MM-DD"} - 示例: {"start": "2025-01-01", "end": "2025-01-07"} - 重要: 必须是对象格式,不能传递整数

Returns: JSON格式的摘要报告,包含Markdown格式内容

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
report_typeNodaily
date_rangeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so the description must disclose behavioral traits. It only states that the tool generates a report and returns JSON with Markdown. No mention of side effects, authentication, rate limits, or data permanence. Minimal transparency beyond basic operation.

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 concise with a clear header, args section, and returns. Every sentence is informative. No fluff. Front-loaded with purpose.

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?

For a simple tool with an output schema, the description covers purpose, parameters, and return format. It is complete for basic usage, though missing guidance on report type selection and potential constraints.

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

Parameters4/5

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

Schema has 0% description coverage, so the description heavily compensates. It explains report_type as 'daily/weekly' and date_range with format example and an important note about object type. This adds significant value beyond the raw 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?

Description clearly states the tool generates daily/weekly summary reports, distinguishing it from siblings like analyze_sentiment and analyze_topic_trend. The verb 'generate' and resource 'summary report' are specific, and the Chinese text '每日/每周摘要生成器' adds clarity.

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?

No guidance on when to use this tool versus alternatives. Does not mention when to choose daily vs weekly, nor when not to use it. Siblings serve different purposes, but no explicit direction is given.

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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