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

The description indicates an external service call ('via Open-Meteo'), which implies network activity, but it does not disclose potential side effects, rate limits, or whether the operation is read-only. With no annotations, this minimal transparency is insufficient.

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 no extraneous words. However, its brevity sacrifices necessary detail, so while it is well-structured, it is too sparse to be fully effective.

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?

Given the tool has nine optional parameters and no required ones, the description fails to explain how to invoke it correctly. It does not identify the key input (place name) or provide any usage context, leaving the tool practically unusable without additional inference.

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 schema descriptions are confusing and mostly irrelevant to the stated purpose (e.g., 'Git ref name; discarded after the shape check', 'City name for a public weather hint'). The tool description does not clarify which parameter carries the place name, so the parameter meanings remain unclear and disjointed.

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 output ('latitude and longitude for a place') and mentions the underlying service (Open-Meteo), but it does not specify which of the nine optional parameters represents the place. This ambiguity reduces clarity about the tool's exact purpose.

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?

There is no guidance on when to use this tool versus alternatives like weather-hint or timezone. No conditions, exclusions, or examples are provided, leaving the model without direction on selection.

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