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 mentions the Open-Meteo source but does not disclose that 8 of the 9 schema parameters appear unrelated and are described as discarded after shape checks. It also does not mention output format, error behavior, or whether the city parameter is genuinely required despite being optional in the schema.

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 short, front-loaded, and free of filler. However, given the schema's nine optional parameters and the mismatch between the tool's weather purpose and most parameters, the brevity feels more like under-specification than optimal conciseness.

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?

For a tool with nine optional parameters, no annotations, and no output schema, the description is incomplete. It fails to explain which parameters are relevant to the weather call, what happens to the other parameters, or what response format to expect. An agent would likely be confused by the 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 baseline is 3. The schema already documents each parameter, including the city field and the discarded/check behavior of the others. The description only reinforces that city is the relevant parameter for weather and does not add substantive meaning beyond the 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 clearly identifies the tool's intent: retrieving a city's current temperature via Open-Meteo. It does not explicitly use a verb like 'gets' or 'returns,' but the meaning is unambiguous. It does not compare itself with siblings, but none of the listed siblings overlap directly with weather data.

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 instead of alternatives such as geo-hint or other hint tools. It also does not clarify how to treat the many unrelated optional schema parameters. There is no explicit 'when to use' or 'when not to use' guidance.

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