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

No annotations are provided, and the description does not mention side effects, network access, rate limits, or whether the operation is read-only. The phrase 'via Open-Meteo' implies an external call, but the behavioral details are otherwise absent.

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 itself is a single concise sentence that front-loads the core function. It is not verbose, although the surrounding parameter list is noisy and could mislead the agent.

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?

There is no output schema and no mention of units, response format, or error behavior. The tool fails to clarify which of the nine optional parameters are actually needed, making it incomplete for reliable agent use.

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?

Most parameter descriptions appear copied from unrelated tools, such as 'ref', 'url', 'feed', 'host', 'json', 'path', and 'query'. Only 'city' and 'zone' are plausibly relevant to weather, but 'city' is described as 'discarded after the call', which is confusing and adds no meaningful semantics.

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 that the tool returns the current temperature for a city and identifies the backend as Open-Meteo. It lacks an explicit verb like 'get' or 'return', but the purpose is still unambiguous and clearly distinct from the sibling tools.

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 gives no guidance on when to use this tool versus alternatives, no mention of which parameters are relevant, and no indication of required inputs. With nine optional parameters, the agent receives no practical usage direction.

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