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

With no annotations, the description carries the full behavioral burden. It conveys a read-only temperature lookup via an external service, but it does not mention output units, error behavior, network dependency, or the fact that most schema parameters are ignored. The core behavior is adequately stated, but richer transparency is missing.

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, which is strong for conciseness. However, it may be somewhat too terse given the complexity of the nine-parameter schema and the absence of output schema or annotations.

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?

The tool has nine optional parameters, no output schema, and no annotations, but the description does not specify which parameter to use, what the return format is, or that most schema fields are irrelevant. A correct invocation relies heavily on the agent inferring that only city matters, which is a significant completeness gap.

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 aligns with the city parameter and the schema already documents each parameter, but the description itself adds little semantic detail beyond naming the city input. It does not clarify which of the nine optional parameters should actually be supplied.

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 and names Open-Meteo as the data source. It is specific enough to match the weather-hint name and distinguish it from sibling hint tools like geo-hint, though it lacks an explicit verb such as 'returns' or 'gets'.

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 the tool should be used when a user wants a city's current temperature, so basic usage context is present. However, it provides no explicit when-not-to-use guidance, no mention of alternatives, and no indication that city is the only relevant parameter among the nine optional inputs.

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