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 states that current temperature is fetched via Open-Meteo, but it does not disclose that many of the input-schema parameters are described as discarded, ignored, or unrelated to weather, nor does it mention units, error behavior, rate limits, or whether the call is read-only.

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, short sentence with no filler words. It front-loads the core purpose and is appropriately concise for what little it claims.

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?

Despite having nine parameters, no annotations, and no output schema, the description only addresses city-based weather and completely ignores the other eight parameters. An agent has no way to know which parameters are relevant, which are ignored, what the return value looks like, or how to handle the many unrelated schema fields.

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 schema already documents each parameter in some detail. The description adds little beyond identifying city as the relevant parameter for weather, while the remaining eight parameters are left unexplained in the description and appear disconnected from the tool's stated purpose. This creates confusion rather than semantic clarity.

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 identifies the tool as returning current temperature for a city via Open-Meteo, which is specific enough to distinguish it from siblings like geo-hint or timezone. However, it is phrased as a noun phrase rather than an explicit verb+resource statement, and the large unrelated input schema creates some ambiguity about what the tool actually does.

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 weather-hint versus alternatives such as geo-hint or timezone. There is no mention of prerequisites, exclusions, or conditions, so an agent cannot determine whether this tool is appropriate for a given task beyond the obvious weather association.

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