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

With no annotations, the description must carry behavioral disclosure, but it only names the data source. It does not explain that the other eight schema parameters are discarded, whether the call is read-only, what happens on invalid city input, or whether an external network request is made.

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 focused sentence that front-loads the key purpose with no wasted words. It is concise, though it is perhaps too terse given the unusual nine-parameter schema.

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?

For a tool with nine optional parameters, no output schema, and no annotations, this one-liner is incomplete. It leaves unclear what to pass, what to ignore, what the response contains beyond temperature, and how errors or missing city values behave.

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 applies. The description adds that 'city' is the meaningful input and that the service is Open-Meteo, but it does not clarify that all other parameters are ignored or what format the city should take.

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 phrase 'Current temperature for a city via Open-Meteo' clearly identifies the operation and resource, and the weather focus distinguishes it from other sibling tools like geo-hint or utc-time. It lacks an explicit verb, but the intended action is obvious.

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 this tool is for current city temperature lookups, but it gives no explicit when-to-use or when-not-to-use guidance. It does not mention alternatives among the many sibling tools or any exclusions such as forecasts or historical data.

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