Explore Dataset

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

Annotations declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false, and the description adds behavioral context: 'Both queries run in parallel for performance.' No contradiction. However, it doesn't mention any potential side effects or prerequisites, but the safety profile is clear from annotations.

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 concise and well-structured: a one-sentence summary, a brief contextual note, and a clear Args/Returns/Note section. Every sentence adds value, and the most important information is front-loaded.

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?

With only one parameter, clear annotations, and no output schema, the description is complete. It explains what the tool does, what arguments it takes, what it returns (metadata and distributions), and includes a performance note. No gaps.

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 sole parameter 'datasetUri' has a schema description 'The URI of the Dataset'. The description adds 'URI of the dataset to explore,' which is essentially a restatement. Since schema coverage is 100%, baseline is 3. The description does not provide examples, format constraints, or additional context 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 'Get details of a specific Dataset including metadata and distributions.' It uses a specific verb ('Get details') and identifies the resource ('Dataset'). It also distinguishes this tool from siblings by noting it is for targeted DCAT-AP_IT inspection and usually secondary to other exploration 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?

Explicitly states 'Use this for targeted DCAT-AP_IT inspection' and provides clear guidance on when not to use it: 'On schema.gov.it, many datasets describe semantic assets, so this tool is usually secondary to ontology, vocabulary, class/property, and SPARQL exploration.' This gives a clear context and alternatives.

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