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

Annotations are null, so the description carries the full burden of behavioral disclosure, and it only names the external data source (Open-Meteo). It does not explain which parameter supplies the place, what the output looks like, failure modes, or that most schema parameters appear to be discarded, leaving the agent in the dark.

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 single sentence is concise and front-loaded with the core purpose, with no wasted words. However, given the mismatched schema, the description is under-specified rather than merely compact — it conveys the purpose but none of the operational detail needed to call the tool.

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, no examples, and no annotations to compensate, yet the tool exposes 7 parameters that appear unrelated to the stated purpose. The description fails to explain how to request coordinates for a place, what result format to expect, or how the schema relates to the behavior, making correct invocation impossible.

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 description mentions 'a place' but never maps it to any schema parameter. The only candidate, city, is described as 'discarded after the call' and tied to a 'weather hint' rather than a geo lookup. With 7 parameters whose schema descriptions point to unrelated domains (Git refs, URLs, feeds, hosts, JSON, paths), the description adds no usable meaning and an agent cannot determine what to pass.

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 a specific result ('Latitude and longitude for a place') and names the data source ('Open-Meteo'), so an agent knows what the tool returns. However, it does not distinguish this from siblings such as weather-hint or timezone, and the clarity is undermined by an input schema whose parameters (ref, url, feed, host, json, path) have nothing to do with a place lookup.

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 whatsoever about when to use this tool versus alternatives. Nothing tells the agent to prefer geo-hint over weather-hint when only coordinates are needed, and no exclusions or prerequisites are mentioned.

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