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

With no annotations available, the description carries the full burden of behavioral disclosure. It only names the external service and the result type, but does not explain that most parameters are discarded, that the operation is read-only, what happens on invalid input, or what the exact return shape 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 a single front-loaded sentence with no filler. It is concise and readable, though it is too terse to compensate for the schema's complexity.

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 nine optional parameters, a widespread 'discarded after check' pattern, no annotations, and no output schema, one sentence is insufficient. An agent cannot reliably determine which parameter to pass or what response format to expect.

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. The description adds no parameter-level meaning beyond the word 'place', and some schema descriptions are confusing, but the schema does document every parameter.

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 resource and output: latitude and longitude for a place via Open-Meteo. It is clear enough to convey that this is a geocoding-style lookup, though it does not explicitly name the input field or differentiate itself from sibling hint tools.

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 when-to-use guidance or comparison to alternatives such as weather-hint. The description also fails to indicate which of the nine optional schema parameters should be populated, so an agent must guess between city, query, and other fields.

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