eurostat_dataset_preview

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description need not restate these. The description adds that it fetches a 'preview', suggesting a limited sample, but does not elaborate on the behavior (e.g., that it returns a subset, or how the preview is generated). The 'rows' parameter with max 200 is in the schema but not mentioned in the description.

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 sentence that conveys the core functionality and optional filtering. Every word is necessary, and there is no redundancy or fluff. It is appropriately concise for a straightforward 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?

The description is too brief for a tool that returns data with no output schema. It does not describe the return format, what constitutes a 'preview', or how the results are structured. Given the complexity of nested 'filters' and the lack of output schema, more information is needed for an agent to use it effectively.

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?

With 0% schema description coverage, the description must compensate. It explains 'dataset' (dataset code) and 'filters' (dimension values) but omits the 'rows' parameter entirely. Thus, it adds partial but incomplete semantic value beyond the schema.

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 action ('Fetch preview observations'), the resource (Eurostat dataset), and the identifier (dataset code). It also distinguishes the tool from its sibling 'eurostat_datasets_search' which is for searching datasets, not fetching previews. The optional filtering by dimension values is explicitly mentioned.

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 implies usage when a dataset code is known and a preview is needed, but it does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention prerequisites (e.g., having a dataset code from a search). No exclusions or when-not-to-use context is given.

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