Get meteoblue forecast image

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does usefully disclose that the response is a PNG and that access depends on the API key's meteoblue entitlement. However, it does not mention error conditions, how invalid locations are handled, or any other side effects or restrictions.

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 brief, direct, and front-loaded: a clear generation statement, the input style, the exact output format, and the access caveat. No sparse or irrelevant content is present.

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 8 parameters, no annotations, and no output schema, the description covers the essential purpose and output but misses important contextual detail: how the type/options parameters interact, whether coordinate and location inputs are mutually exclusive, and when to prefer this tool over get_forecast. It is sufficient to start, but not fully complete for an agent navigating the full tool landscape.

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 adds a small amount of parameter meaning by saying the image can be generated by place name or coordinates, which maps to location or latitude/longitude. The schema already covers those semantics well, and the description does not explain the type enum, options object, language, countryCode, or elevation parameters, which remain somewhat ambiguous despite partial schema descriptions.

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 identifies the operation: generate a meteoblue forecast meteogram by place name or coordinates, and explicitly states the output is a PNG. This distinguishes the tool from siblings like get_forecast and search_locations, which serve different purposes.

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 gives no guidance on when to use this tool over get_forecast or search_locations. It does not state whether this is the image counterpart to get_forecast, when to use it with coordinates, or whether search_locations should be called first. Only the very purpose implies an image deliverable.

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