generate_trend_report

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

No annotations are provided, so the description must carry the full behavioral disclosure burden. It mentions the report includes cross-platform data and predictions, but does not disclose operational traits such as side effects, permissions, rate limits, or performance implications. For a report-generation tool, this is insufficient.

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 a single concise sentence, front-loading the main purpose without extraneous words. It is appropriately sized for the tool's simplicity, though it sacrifices content richness for brevity.

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 lack of an output schema and annotations, and the presence of many trend-related sibling tools, the description is too thin. It does not explain the structure of the report, what 'predictions' entail, how parameters affect the outcome, or how this tool differs from similar ones, leaving significant ambiguity for selection and invocation.

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 input schema has 100% description coverage for both parameters (time_range and include_platform_insights), so the schema already defines their meaning. The description adds no extra parameter context beyond what the schema provides, making the baseline 3 appropriate.

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 specifies a clear verb ('生成' / generate) and resource ('综合趋势分析报告' / comprehensive trend analysis report), and mentions cross-platform data and predictions, giving some specificity. However, it does not differentiate from sibling tools such as analyze_trends or get_simple_trends, which also analyze trends, so it lacks explicit sibling distinction.

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 alternatives. It only states what the tool does, without any contextual triggers, prerequisites, or comparisons to sibling tools, leaving the agent without direction for tool selection.

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