analyze_data_insights

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

No annotations provided, so description carries full burden. It explains return format (JSON) and parameter constraints (e.g., date_range must be object), but does not disclose side effects, authentication needs, or rate limits. Adequate but not comprehensive.

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?

Description is well-structured with sections (overview, args, returns, examples) and front-loaded. However, it is verbose with mixed languages and could be slightly more concise.

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 5 parameters (none required), output schema exists, and tool covers multiple modes, the description is complete. It explains all parameter uses and return format, with examples for each mode.

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%, but description provides detailed explanations for all parameters: insight_type values, topic optional, date_range format with examples, min_frequency default, top_n default. This adds substantial meaning beyond schema.

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 is a unified data insight analysis tool integrating multiple modes (platform_compare, platform_activity, keyword_cooccur), each explained. The purpose is specific and distinguishes from sibling tools by listing distinct analysis types.

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 examples for each insight type, demonstrating usage. However, it does not explicitly state when not to use this tool or compare it to alternatives like analyze_sentiment or analyze_topic_trend, which are siblings.

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