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

With no annotations, the description carries the full behavioral burden, but it only mentions the external data source and output. It does not disclose that most parameters are discarded after validation, that this may involve a remote API call, or what happens on invalid input.

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 or repetition. It is economical and easy to parse, though it is under-specified in ways better captured by other dimensions.

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 output schema, and no annotations, the description is too thin for reliable invocation. It does not say which parameter supplies the place, whether only one parameter should be passed, or that most fields are validation-only, leaving an agent to guess.

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 the baseline applies; every parameter already has a description. The tool description adds the idea that a 'place' is involved but does not map that to any specific parameter, such as city or query, so it adds little semantic value.

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 states the tool's output—latitude and longitude for a place—and names Open-Meteo as the data source. It is distinguishable from sibling tools like weather-hint or timezone, though it lacks an explicit verb such as 'geocode' or 'look up'.

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 provides no guidance on when to use this tool versus alternatives, no exclusions, and no indication of which input parameter identifies the 'place.' Usage is only weakly implied: when you need coordinates for a place.

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