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

The annotations already establish that this is read-only, idempotent, and non-destructive. The description adds useful behavioral context beyond those annotations by stating that the tool returns every dataset in the catalog and specifying exactly what information is included, plus noting that the catalog grows over time.

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 front-loaded with the core action and scope, and the parenthetical list of datasets is informative rather than padding. The final sentence adds useful workflow guidance. It is slightly dense due to the long enumeration, but every part contributes.

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?

Despite having no output schema, the description clearly states the return fields and scope, and the optional filter is documented in the input schema. The tool is simple (one optional parameter, no required arguments), and the description supplies enough context for correct first-time invocation.

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 fully documents the single optional 'country' parameter with an ISO 3166-1 alpha-2 description, so schema coverage is 100%. The tool description does not add parameter-specific guidance, but it does not need to; the baseline applies.

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 a specific verb and resource: 'List every dataset DataScoop carries', and enumerates the dataset categories. It also names the return fields (country, coverage, row count, licence, refresh date, page URLs), making the tool's purpose unmistakable and distinct from siblings like search_datasets.

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 entry-point guidance: 'Call this or search_datasets first.' This situates the tool in a workflow and names the main sibling alternative, though it does not explicitly explain when to prefer one over the other.

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