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

There are no annotations, so the description must explain behavioral traits such as network dependency, side effects, and return behavior. It only names the data source and purpose; it does not disclose that the tool likely makes a live Open-Meteo call, ignores most parameters, or what response format/units to expect.

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. It is appropriately concise for stating the core purpose, though the complexity of the parameter schema could justify a bit more clarification.

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?

With no output schema and no annotations, the description is incomplete for a tool that has 9 unrelated optional parameters. It does not explain why so many other parameters exist, whether they are ignored, or what the tool returns beyond a vague 'current temperature'.

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 input schema already documents all 9 parameters. The description adds only that 'city' is the relevant input for the weather query, which is minimal but acceptable given the schema coverage baseline.

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 identifies the tool's purpose: returning current temperature for a city via Open-Meteo. It is distinct from sibling hint tools like geo-hint or lib-docs-hint, 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 prefer this tool over alternatives, nor does it state exclusions or the fact that most of the 9 parameters are irrelevant. The intended usage is only implied by the mention of 'city' and Open-Meteo.

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