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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the Open-Meteo source but does not state whether the operation is read-only, what side effects might occur, how errors are handled, or what happens when multiple parameters are supplied. The description is too sparse to give an agent confidence about the tool's 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 concise sentence with the key purpose front-loaded and no unnecessary wording. It is appropriately short for a simple weather lookup. However, given the unusually large 9-parameter schema, the brevity leaves important contextual gaps that a slightly longer description could have addressed.

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 nine optional parameters but the description only mentions city, leaving the role of the other eight parameters unclear to the agent. There is no output schema, but the description does not explain the return format, units, or what response to expect. The mismatched parameters and missing return semantics make the description incomplete for reliable 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; each parameter already has its own explanatory text. The description adds only that city is the relevant input, which is helpful but does not materially expand on the schema. Since the schema is already rich, this meets the baseline without exceeding it.

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 the tool returns current temperature for a city via Open-Meteo, which clearly identifies the core function and resource. It differentiates from weather-related siblings like geo-hint by focusing on temperature rather than geography or other hints. The lack of an explicit verb is minor but the meaning 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 should be used when a city-level current temperature is needed. However, it provides no explicit guidance about when not to use it or which alternative tools might be better suited for related needs. The usage context is implied rather than clearly stated.

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