generate_summary_report

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

No annotations are provided, so the description should fully disclose behavioral traits. It mentions the return format (JSON with Markdown) and parameter constraints (date_range must be an object), but does not discuss side effects, destructive actions, authentication needs, rate limits, or whether it reads cached data. The description partially compensates but has significant gaps.

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 structured with an Args section, but the date_range explanation is verbose and includes examples and warnings. Could be more concise, but the structure is good and information is front-loaded.

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?

For a tool with 2 parameters and no required fields, the description covers the main functionality and return format. However, it lacks prerequisites or limitations (e.g., data source, availability). The output schema exists but is not provided here; assuming it works, the description is nearly complete.

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?

Schema description coverage is 0%, making the description the sole source of parameter meaning. It clearly explains 'report_type' (daily/weekly) and 'date_range' (optional object format with examples and warnings). This adds substantial value beyond the schema types.

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?

Clearly states the tool generates a daily/weekly summary report (热点摘要报告). The verb 'generate' and resource 'summary report' are explicit. It distinguishes from sibling tools like aggregate_news or analyze_data_insights, which serve different purposes.

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?

The description explains the parameters but does not explicitly state when to use this tool versus alternatives. Usage is implied (for generating summaries), but there are no when-not conditions or alternative tool suggestions.

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