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

With no annotations, the description carries the full burden of explaining side effects, but it only says the tool returns a temperature. Schema descriptions hint that many fields are discarded and that no disk access occurs, but the actual city behavior is unclear and no error or network behavior is disclosed.

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 main description is a single concise sentence and the property descriptions are terse. However, the large number of seemingly unrelated optional properties makes the overall tool definition feel cluttered.

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 description is too minimal for an agent to call the tool confidently. It does not specify required inputs, output format, behavior with invalid city names, or whether the extra parameters are ignored, making the tool incomplete for practical use.

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?

The city property is semantically clear, but the schema also contains eight other properties with no obvious connection to weather. Descriptions like 'discarded after the call' do not clarify whether those parameters affect the result, and none are marked required.

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 states the tool's purpose: returning the current temperature for a city via Open-Meteo. The wording is specific enough to identify the core function, though the title is null and the broad input schema introduces some ambiguity.

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 usage guidance is provided. The description does not indicate when to prefer this tool over siblings, what conditions make it appropriate, or how the many unrelated optional parameters should be treated.

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