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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does mention the Open-Meteo source, but it does not disclose whether this is an external network call, how failures are handled, whether it is read-only, or what the output shape is.

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 sentence is short and front-loaded, with no wasted wording. However, the brevity becomes under-specification given the 9-parameter schema and absent annotations, so it is not a fully optimal size.

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?

With 9 optional parameters, no output schema, and no annotations, this single-sentence description is not enough. It does not state which parameters are relevant, what happens when no city is provided, what the return value looks like, or how other schema fields relate to this 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?

The input schema descriptions cover all parameters, so the baseline is 3. The description adds little beyond mapping the tool to a city, and it does not explicitly state that the many unrelated parameters (ref, url, feed, json, etc.) are ignored by this specific tool.

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 specific purpose: current temperature for a city, sourced from Open-Meteo. It is reasonably distinct from siblings like timezone, geo-hint, and utc-time, though it does not explicitly name any alternative.

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 intended use is implied: call when a city's current temperature is desired. However, there is no explicit statement of when not to use it, no alternative tool comparison, and no clarification of whether only the city parameter is used.

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