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

There are no annotations, so the description must carry behavioral disclosure. It only mentions Open-Meteo as the source and does not state whether the operation is read-only, how inputs are handled, what the return shape is, or any error or rate-limit 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 one efficient sentence with no filler and front-loads the core output. It is concise, though that brevity contributes to missing behavioral and usage context.

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 nine optional parameters, no output schema, and no annotations, a one-line description is insufficient. The agent cannot determine which parameters are relevant, what happens with no parameters, or what a successful or failed response looks like.

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 coverage is 100%, so the baseline is 3 and the description need not restate parameter syntax. However, the description does not clarify which of the nine parameters represents the 'place', leaving the agent to infer that 'city' is the intended input.

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 indicates that the tool returns latitude and longitude for a place via Open-Meteo. It avoids being a pure tautology of 'geo-hint', though it lacks a verb and does not explicitly differentiate itself from sibling tools like weather-hint.

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 implies usage when coordinates for a place are needed, but it provides no explicit when/when-not guidance and names no alternative tools. Usage context is present only by inference.

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