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

No annotations are present, so the description carries the full behavioral burden. It does not disclose that only the city parameter is used, that other schema parameters are discarded, that an external API call is made, or what the response looks like. The schema hints at discarded parameters, but the description itself is silent on these behaviors.

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 with no filler. It front-loads the resource, the action, and the data source, making it easy to scan.

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 9 optional parameters, no output schema, and no annotations, yet the description does not clarify which parameters are actually relevant, what the output format is, or whether this is a network-backed lookup with possible failures. An agent cannot confidently invoke the tool correctly based on this description alone.

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 little beyond naming 'city' as the relevant input, but the schema already documents each parameter, including the city parameter's role as a public weather hint.

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 names a specific outcome: current temperature for a city, and even cites the data source Open-Meteo. It does not explicitly differentiate from sibling tools like geo-hint, and the word 'hint' in the tool name is unexplained, but the core purpose is clear.

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 it should be used when an agent needs current temperature for a city, but it gives no explicit guidance about when to use this tool instead of a sibling, or when not to use it. No alternatives are mentioned.

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