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

With no annotations, the description carries full behavioral burden. It clearly indicates a read-only operation ('Return') and specifies the output content, which is useful. However, it does not disclose any access requirements, error conditions, or side effects, and the absence of annotations leaves the safety profile implicit.

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?

Two concise sentences plus a single-line args block. The primary verb and resource are front-loaded, and every sentence adds value without redundancy.

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?

For a one-parameter read tool, the description is nearly complete. The dsid is fully documented, representative metadata fields are listed, and an output schema exists to describe return values. It only lacks a hint about how dsid relates to sibling tools like list_datasets or describe_dataset.

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 input schema provides only a string type with no description (0% coverage), but the description fully compensates by explaining the dsid format as 'dNNNNNN' and giving a concrete example, d083002. This makes the sole parameter unambiguous and actionable.

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?

States a clear verb and object: 'Return full metadata for a GDEX dataset', and enumerates content categories (parameters, temporal range, spatial coverage). This distinguishes it from file-list or metrics tools, but it does not differentiate from the sibling 'describe_dataset', which likely has overlapping purpose.

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?

No guidance on when to use this tool versus alternatives. The sibling 'describe_dataset' suggests a possible overlap, but the description provides no conditions, exclusions, or comparisons, leaving the agent without clear selection criteria.

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