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

With no annotations provided, the description carries the full burden of explaining side effects, network I/O, failure modes, or read-only behavior. It only mentions the data source (Open-Meteo) and does not disclose whether the tool makes external calls or what can go wrong.

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 tool description is concise and direct. However, the parameter descriptions are repetitive boilerplate ('discarded after...') and include many irrelevant fields, which bloat the schema and reduce overall structural quality.

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?

There is no output schema, and the description does not specify the return format (e.g., units, whether conditions are included) or error behavior. With 9 optional parameters, the tool's actual invocation requirements and expected results remain unclear.

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?

Although every parameter has a description, most are irrelevant to the stated purpose (e.g., 'ref', 'url', 'feed', 'host', 'json', 'path', 'query'). The 'city' parameter is clearly relevant, but the repetitive 'discarded after...' phrasing adds confusion rather than clarity.

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 that the tool provides the current temperature for a city via Open-Meteo. This distinguishes it from sibling tools like geo-hint or web-fetch, though it lacks an explicit verb such as 'get' or 'retrieve'.

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 gives no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or limitations. It simply states the function without contextual usage direction.

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