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

With no annotations, the description carries the full burden of behavioral disclosure. It names Open-Meteo as the data source but does not mention output units, failure modes, network dependency, side effects, or that most schema parameters are discarded. This is minimal transparency for an external-data tool.

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 front-loaded sentence with no filler. It communicates the essential purpose and data source efficiently, which is appropriate for a simple tool definition.

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 the appearance of 9 optional parameters, the description does not clarify that city is the relevant input, nor does it explain the discarded nature of the other parameters. With no output schema and no annotations, the lack of return-format and error-behavior details leaves the definition incomplete for reliable invocation.

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 each parameter already has meaningful documentation. The description adds no parameter-specific detail beyond the word 'city,' and the schema already describes the city parameter. This matches the baseline of 3 for high schema coverage.

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 states the tool returns current temperature for a city via Open-Meteo, which is a specific resource and function. However, it does not explicitly distinguish this tool from sibling tools such as geo-hint or lib-docs-hint, so it falls short of top marks.

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 provides no guidance on when to use this tool versus alternatives, no exclusions, and no context about prerequisites. It only states what the tool does, leaving the agent to infer usage from the weather-related purpose.

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