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

The description implies a read-only operation ('list the registered datasets') and the readOnlyHint annotation is present. It does not contradict the annotation. The tool description itself lacks explicit side-effect details, but the annotation covers the main concern, so a slightly above baseline score is warranted.

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 contains irrelevant fragments: 'Datensätze, Metadaten, Open Data' in parentheses and a trailing 'norm.' that do not aid understanding. The core sentence is clear, but the extraneous words make it less concise and visually cluttered.

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 covers the main purpose and mentions pagination, but there is no output schema and no details about response structure, sorting, or error conditions. Given the moderate complexity (filtering and pagination), the description is sufficient but not complete. The extra clutter further reduces clarity, though the core information is present.

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 schema descriptions fully cover all six parameters with 100% coverage, and the tool description does not add meaningful semantic detail beyond that. The phrase 'with publisher, themes and access right' loosely mirrors the parameter list but adds no new information. Baseline 3 is appropriate.

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 lists registered datasets with pagination and filter fields (publisher, themes, access right). It also gives a use case ('use for a census or a publisher's list'), though it does not explicitly differentiate from sibling search functions like search_catalog.

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?

It provides a loose usage suggestion ('use for a census or a publisher's list') but does not explicitly say when to avoid this tool or contrast it with alternatives such as get_dataset or search_catalog. The stray word 'norm.' adds noise rather than guidance.

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