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

No annotations are provided, so the description must carry full behavioral disclosure. It does reveal an external dependency on Open-Meteo and implies a read-only operation, but it does not mention error behavior, result format, units, or that unrelated schema parameters are discarded. This is insufficient for confident invocation.

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 that directly states the core purpose with no filler. It is concise and easy to scan, though it is so terse that it leaves important invocation details to the 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?

This tool has nine optional parameters, no annotations, and no output schema, yet the description offers only one sentence. There is no explanation of the expected response beyond 'current temperature', no unit or error context, and no clarification of the relevant parameter among many discarded ones. This is incomplete for reliable tool selection and invocation.

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 only that the temperature is for a city via Open-Meteo, which is minor context beyond the schema. It does not clarify why the unrelated parameters exist or which parameter is needed, but the schema itself already documents each property.

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 states a specific resource and scope: 'Current temperature for a city' via Open-Meteo. This makes the tool's function clear and distinguishes it from the sibling list, where no other tool is weather-specific. It loses a point because it is a noun phrase rather than an explicit verb, and the large unrelated input schema slightly muddies the tool's actual focus.

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?

There is no guidance about when to use this tool versus alternatives, nor any instruction that `city` is the only relevant parameter. The eight other schema properties are documented as discarded, but the description itself provides no direction on invocation, leaving an agent to infer how to call the tool correctly.

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