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

No annotations are present, so the description carries the full burden of behavioral disclosure. It indicates a read-only weather lookup via an external service, but it does not state the response format, whether parameters besides city affect the call, or that several parameters are discarded. Key behaviors are left undocumented.

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 a single concise sentence that front-loads the core purpose. However, its brevity is not supported by richer parameter or output context, so it is efficient but not fully informative.

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 annotations, so the description should provide return-value and invocation context. It only says what the tool does, not how to call it correctly, which parameters to pass, what the temperature result looks like, or how the nine optional schema parameters interrelate.

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 100%, so the baseline is 3. The description adds no parameter meaning beyond naming city; it does not explain why the schema includes ref, url, feed, host, json, path, zone, and query, or how they relate to the stated weather purpose.

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, specific purpose: current temperature for a city via Open-Meteo. This is enough to distinguish it from most sibling tools, but it is phrased as a noun phrase rather than an explicit action like 'gets' or 'returns', and it does not acknowledge the schema's many unrelated parameters.

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 implies use when a current city temperature is needed and identifies the data source, but it gives no explicit when-to-use or when-not-to-use guidance, no exclusions, and no direction among the many sibling tools. It also does not clarify whether any of the eight other schema parameters are relevant.

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