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

With no annotations, the description carries full burden for behavioral disclosure, but it only says 'via Open-Meteo'. It does not clarify whether this is a network call, whether it is read-only, what happens for unknown places, or what the output structure is.

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 highly concise and front-loaded, with no unnecessary words. It is not the only verb but the sentence is compact and aligns with the purpose statement. It sacrifices completeness for brevity, but this dimension focuses on structure specifically.

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 9 optional parameters, no required fields, no annotation, and no output schema, the description is far too sparse for an agent to invoke confidently. It doesn't explain which input matters, what the returned data looks like, or how failures are signaled.

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 parameter semantics are largely handled by the schema, setting a baseline of 3. However, the tool description does not help select among the nine optional parameters or explain which parameter (likely `city`) drives the geo lookup.

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 phrase 'Latitude and longitude for a place via Open-Meteo' clearly communicates the core purpose and indicates an external geocoding source. It is not a tautology and does distinguish the tool as location-focused, though it doesn't explicitly mention a verb or connect to `city`.

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?

No guidance is given about when to use this tool versus alternatives like `weather-hint` or `timezone`. The description does not state which input should be provided, what prerequisite context matters, or what output the agent should do with it.

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