tool_best_month_to_visit

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

Discloses data source (5yr Open-Meteo historical archive) and authentication status (no auth). However, it does not specify the format or content of the return value, which would enhance transparency. With no annotations, the description carries the full burden.

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 concise and well-structured. It starts with a clear header, includes an example, then data source/auth info, sibling differentiation, and args list. 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?

While the description covers purpose, usage, parameters, and behavior, it lacks explicit details about the output (e.g., what exactly is returned). Since no output schema exists, the description should clarify the return format, which is a gap. This reduces completeness.

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 0% description coverage, so the description must add meaning. It lists the three parameters with brief explanations, including the possible values for preferences (warm_dry, cool_dry, etc.). This adds value, though more detail on coordinate format or preference details could improve it.

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 purpose: determining the best month to visit based on climate, not price. The example 'When is Bali at its best?' reinforces this, and it differentiates from sibling tools like find_cheapest_month and fare_calendar.

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?

Explicitly provides when-to-use (climate-based month) and when-not-to-use (for cheapest month use find_cheapest_month, for day-level price grid use fare_calendar). Clear guidance on alternatives.

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