analyze_data_insights

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only mentions the return format and a parameter format constraint. It does not clarify whether this operation is read-only, triggers any computation or crawl, requires permissions, or has rate limits. Given siblings like trigger_crawl and sync_from_remote, such ambiguity is significant.

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 Args, Returns, and Examples headers, making it easy to scan. It is somewhat verbose due to formatting embellishments, but the parameter explanations and examples earn their place. The front-loaded title and purpose are clear.

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?

The description covers parameters, examples, and return type, but it does not clarify which modes date_range applies to, whether parameters interact, or how to choose this over sibling tools. Since an output schema exists, return value details are not required, but the usage context and behavioral constraints are incomplete for a 5-parameter multi-mode tool.

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%, yet the description fully documents all five parameters, including allowed values for insight_type, mode-specific applicability, defaults, and a detailed date_range format with a warning against integer input. The examples demonstrate valid parameter combinations, adding substantial meaning beyond the sparse 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 states it is a unified data insight analysis tool with three specific modes (platform comparison, platform activity, keyword co-occurrence), each clearly defined. It provides concrete examples, but does not differentiate from sibling tools like analyze_topic_trend or analyze_sentiment, which also perform analysis.

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 what modes exist and when each mode is relevant, but gives no guidance on when to choose this tool over the many sibling analysis tools (e.g., analyze_topic_trend, analyze_sentiment, compare_periods). No exclusions or alternatives are mentioned.

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