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

Annotations are absent, so the description carries the full burden of behavioral disclosure. It implies an external read-only lookup via Open-Meteo, but it does not disclose what happens for unknown cities, whether network access is required, what units are returned, or that most of the schema parameters are ignored.

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 sentence with no filler and the core action is front-loaded. It is highly concise and every word contributes to understanding the tool's purpose.

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?

Given that there is no output schema, no annotations, and a 9-parameter input schema with many apparently unrelated parameters, the description is under-specified. It does not clarify the output format, error behavior, or which parameter an agent should actually pass, so an agent would struggle to invoke the tool correctly.

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 tool description adds context by linking Open-Meteo and temperature to the city concept, but it does not explicitly identify `city` as the only relevant parameter or explain how the other eight parameters relate to the tool. The schema's own 'discarded' notes do most of the parameter work.

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 names a specific service (Open-Meteo) and outcome (current temperature for a city), which clearly distinguishes it from siblings such as geo-hint. It lacks an explicit verb like 'get' or 'retrieve', but the intent is unambiguous.

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?

No guidance is given on when to prefer this tool over alternatives like geo-hint or timezone, and no prerequisites are stated. The only implied usage is 'when a city temperature is needed,' but no explicit context or exclusions are provided.

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