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

No annotations are provided, so the description must carry the behavioral disclosure burden. It only states the basic operation, without saying that the other eight schema parameters appear irrelevant or discarded, how the response is structured, or whether external network access is required.

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. It is slightly too terse for a 9-parameter tool, but as a prose summary it is efficiently written.

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?

With no annotations, no output schema, and nine optional input parameters, the description is not complete enough to call correctly. It does not state which parameter to use, how unrelated parameters behave, or what the response contains.

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 adds City and weather context but does not compensate for the many irrelevant-looking parameters; the schema itself is doing the semantic heavy lifting.

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?

States a specific verb and resource: returning the current temperature for a city, with the provider named (Open-Meteo). This is enough to be understood on its own, but the description does not differentiate it from sibling tools and the 9-parameter schema makes the actual scope somewhat unclear.

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 is for fetching a city's current temperature, but it gives no explicit when/when-not guidance and does not reference any sibling tool as an alternative. The agent must infer when to use it and which parameter matters.

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