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

The description reveals that an external Open-Meteo lookup will occur, which is useful behavioral context. However, with no annotations, it does not disclose the response format, failure behavior, or that the remaining eight schema parameters are effectively inert for this tool.

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 to the core meaning, and there is no redundant restating of the tool name or input 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?

Given the unusually broad 9-parameter schema, no output schema, and no annotations, the description is too thin. It does not clarify which parameter to actually pass, what the response contains, or that all unrelated parameters should be left out, leaving significant room for misinvocation.

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 schema already documents every parameter, including which values are discarded. The description adds little beyond naming 'city' as the relevant input, but the schema carries the semantic load, so a baseline 3 is appropriate.

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 uses a specific verb and resource: it reports the current temperature for a city via Open-Meteo. This clearly distinguishes the tool from siblings like geo-hint or utc-time, and the one-sentence definition 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?

No guidance is given for when to use this tool versus alternatives, nor does it state that only the 'city' parameter should be supplied while the other eight accepted parameters are ignored. The agent is left to infer both the selection context and the actual input pattern.

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