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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so safety is covered. The description adds value by disclosing the kind of information returned (coverage, caveats, citation, columns), which goes beyond the annotations and helps set expectations.

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?

One compact sentence with no filler words. It front-loads the action and enumerates the return topics in a scannable list, making efficient use of the description space.

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?

Although annotations cover safety and an output schema exists, the description omits usage routing and parameter semantics. An agent would still need to guess what values 'dataset' and 'column_search' accept, especially with no domain context beyond 'GERDA'.

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?

Schema description coverage is 0%, so the description must compensate, but it does not explain the 'dataset' parameter format or the purpose of 'column_search' beyond the schema's generic titles. The mention of 'columns' hints at column_search but does not clarify how it behaves.

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 ('Describe') and names the exact resource ('a GERDA dataset') plus the four content areas covered (coverage, caveats, citation, columns). This clearly differentiates it from siblings like list_datasets, get_download, find_geographies, and query_results.

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?

There is no guidance on when to use this tool versus alternatives, nor any mention of prerequisites or exclusions. The intended use is only implied by the verb 'describe', which is not enough for an agent to confidently choose it over list_datasets or query_results.

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