get_weather_by_coordinates

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does explain that the output includes complete weather data, AI analysis, and ambient theme, but it does not mention limitations, coordinate format expectations, or any operational characteristics beyond the return structure.

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 well-structured with a front-loaded summary followed by compact Args and Returns sections. Every line adds useful information and there is no redundancy or fluff.

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 that an output schema exists, the description does not need to fully explain return values, but it does anyway. All parameters are covered, required fields are stated, and the response composition is summarized. The main missing piece is explicit sibling routing guidance.

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%, so the description fully compensates. It documents all four parameters, including the acceptable range for days (1-16), defaults, and language options (en, cs), adding significant meaning beyond the raw 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 a clear verb and resource: 'Get weather forecast using exact coordinates with AI analysis.' It is clear and distinguishable from siblings by emphasizing 'exact coordinates' and 'AI analysis', though it does not explicitly name a sibling or state what it is not.

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?

Usage is implied: this tool should be used when exact coordinates are available. However, there is no explicit guidance about when to prefer get_weather_forecast, get_current_weather, or search_location instead.

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