browse_themes

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

No annotations are provided, so the description carries the full disclosure burden. It explicitly states the output (categorized themes with key domain topics and dataset codes) and the scope ('top-level'), and the verb 'browse' implies a read-only operation. This is adequate for a simple, non-destructive tool.

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 two short, purposeful sentences with a clear 'Returns:' label. It includes concrete examples and avoids any fluff or repetition. Every word adds value.

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 an output schema exists (per signal), the description does not need to detail return values exhaustively. It provides a high-level overview and examples that are sufficient for a simple browsing tool. The main gap is the lack of explicit guidance on when not to use it, but that is not critical here.

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 tool has zero parameters, so the baseline is 4. The description confirms that no input is required and provides context about what the output contains, which complements the empty input schema perfectly.

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 uses the specific verb 'browse' with the resource 'top-level Eurostat themes' and provides concrete examples (Economy, Population, Trade, Environment, Industry). This clearly distinguishes it from sibling tools like search_datasets (searching) and get_dataset_info (specific dataset details).

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 clear context: use this tool when you need to explore the top-level theme hierarchy of Eurostat data. It does not explicitly mention alternatives or exclusions, but the context is sufficiently clear for an agent to decide when this tool is appropriate.

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