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

With no annotations, the description carries the disclosure burden, but it only states that Open-Meteo is the data source. It does not disclose network dependence, failure behavior for unknown cities, units of the returned temperature, or the fact that all other schema fields are discarded/ignored. No behavioral traits beyond the basic call are revealed.

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 8-word sentence that front-loads the core function and data source. There is no repetition of the tool name or fluff. It is concise even if it sacrifices completeness.

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 the 9-parameter schema and no output schema, the description is minimally adequate: combined with the schema's `city` parameter description, an agent can infer to pass a city and receive a temperature. However, it leaves unspecified units, response shape, and whether non-city inputs are allowed. These gaps are modest for such a simple tool, so it remains usable but not complete.

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, and the description adds only a slight signal that `city` is the relevant parameter. It does not specify units, required format, or how to handle the other eight parameters. The schema parameter descriptions already provide most of the needed meaning.

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 identifies the result and data source. It is domain-distinct from sibling tools like geo-hint or lib-docs-hint, though it lacks an explicit verb and doesn't mention the `city` parameter.

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 offers no guidance about when to prefer this tool over alternatives, no exclusions, and no mention that only the `city` parameter is relevant among the nine available. The intended use case is implied by the name and description but not explicitly stated, leaving an agent without routing context when sibling hint tools exist.

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