SnowSure insights

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description does not need to repeat safety. It adds context about the nature of insights (e.g., season norms, powder leaders) but does not disclose any unexpected behaviors or side effects beyond what annotations provide.

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 two sentences long, front-loaded with the tool's purpose and examples, followed by a filtering tip. Every sentence adds value without redundancy.

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?

Despite the existence of an output schema and comprehensive parameter schemas, the description fails to mention a critical usage step: calling list_insight_categories first to obtain a category ID. This omission makes the description incomplete for an agent relying solely on it.

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?

All 4 parameters have descriptions in the input schema, providing 100% coverage. The main description adds value by relating insightType and category to filtering, but it does not explain scope or hemisphere beyond what the schema already states.

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 retrieves categorized SnowSure insights, not just snow totals, and provides example questions. It distinguishes from simple leaderboards by mentioning insightType=intelligence. However, it doesn't explicitly contrast with sibling tools like list_insight_categories or get_snow_report.

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 advises filtering by category or insightType=intelligence to skip leaderboards, giving some usage guidance. However, it omits the crucial prerequisite of calling list_insight_categories first (mentioned only in the input schema description), which is a significant gap for correct invocation.

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