generate_summary_report

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions output is JSON with Markdown content but lacks details on side effects, authorization requirements, rate limits, or data persistence.

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

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

The description is well-structured with a title line, 'Args' section with bullets, and 'Returns' line. It is concise, though the Chinese text could be slightly shorter.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the existence of an output schema (not shown), the description appropriately delegates return details. However, it lacks guidance on default behaviors (e.g., if date_range omitted) and does not mention the tool's role relative to sibling tools like resolve_date_range.

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

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

The schema description coverage is 0%, but the description compensates by explaining date_range format (object with start/end, must not be integer) and report_type as daily/weekly. This adds crucial meaning beyond the schema's type-only definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it generates daily/weekly summary reports ('每日/每周摘要生成器'). The verb 'generate' and resource 'summary report' are specific. It distinguishes from siblings like 'analyze_data_insights' by focusing on periodic report generation.

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

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

No explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites or scenarios where other tools (e.g., get_latest_news, analyze_sentiment) would be more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.