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

No annotations are provided, so the description carries the full behavioral disclosure burden. It identifies Open-Meteo as the backend but does not describe the return format, units, whether other input parameters are ignored, or any network/statelessness behavior.

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; every word contributes the resource, scope, or source. It is appropriately sized for a simple lookup tool.

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 output schema, no annotations, and a 9-parameter schema where only 'city' seems relevant, the one-line description leaves important gaps: which parameters are used, what the response contains, and what happens when other parameters are supplied. An agent cannot be confident about correct invocation beyond passing a city name.

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 met and the description adds no parameter semantics beyond naming 'city'. It does not clarify that the other eight optional parameters appear irrelevant to the weather lookup, leaving a potential ambiguity.

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 names a specific resource (current temperature for a city) and the data source (Open-Meteo), so an agent can tell it is a weather lookup. It does not explicitly contrast it with sibling tools such as geo-hint, but the function is unambiguous.

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 phrase 'for a city' implies the tool is meant for current-temperature requests, but it does not explicitly say when to use it over alternatives or what to avoid. No exclusions or prerequisites are given.

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