generate_summary_report

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

With no annotations, the description carries the full burden. It does disclose the return format (JSON with Markdown content) and adds an important constraint that date_range must be an object, not an integer. However, it doesn't mention whether the operation is read-only, potential side effects, authentication requirements, or error conditions. These gaps leave behavioral expectations partially unclear.

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 reasonably concise, with a clear top-level summary followed by a structured Args/Returns section. It front-loads the core purpose and includes necessary details without excessive verbosity. The Chinese formatting is compact, and the emphasis on the date_range object format is appropriately highlighted. It earns a 4 for being well-organized and efficient.

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 tool's simplicity (2 optional parameters) and presence of an output schema, the description covers the essential operational details: purpose, parameters, and return format. However, it lacks usage context (when to invoke this vs. alternatives) and does not mention any prerequisites or limitations. Consequently, an agent might call it incorrectly in scenarios where another tool would be better suited.

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 coverage is 0%, so the description must compensate. It explicitly explains both parameters: report_type (daily/weekly) and date_range, providing format details, an example, and a prominent warning about the object type. This adds meaningful guidance beyond the raw schema, which only lists types without explanation. The only minor gap is not listing all possible report_type values beyond 'daily/weekly,' but that seems complete for the intended use.

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 the tool's action and resource: it generates a 'hot topic summary report' for daily/weekly periods. The verb 'generate' and resource 'summary report' are explicit, and the daily/weekly scope distinguishes it broadly from siblings like analyze_topic_trend or aggregate_news. However, it doesn't explicitly name alternatives or contrast with other report-type tools, so it falls short of a 5.

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 provides no guidance on when to use this tool versus siblings such as search_news, analyze_data_insights, or compare_periods. It neither states typical use cases nor mentions alternatives that might be more appropriate for different scenarios. A user would have to infer from the tool name and description, which is insufficient for optimal selection.

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