get_dataset_info

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds useful context by mentioning the attribution/disclaimer terms that consumers must honor, which goes beyond the structured annotations and clarifies the tool's non-obvious output aspect.

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 compact and front-loaded: the first sentence summarizes the resource, and the second enumerates the returned elements without redundancy. Every sentence adds value and the structure is easy to parse.

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?

This is a simple, zero-parameter metadata endpoint with a rich output schema and comprehensive annotations. The description covers the dataset-level purpose, key return categories, and the important legal attribution context, leaving no critical gap for an agent deciding to call it.

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 tool has zero parameters, so the baseline for this dimension is 4. The description correctly avoids inventing parameter details and focuses on what the tool returns, which is appropriate for a no-input endpoint.

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 ('Get') with a clear resource ('FineRx dataset coverage, freshness, and attribution/disclaimer terms'). It clearly differentiates this metadata tool from the sibling search/price/savings tools by focusing on dataset-level information rather than individual drug or pharmacy data.

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 clearly scopes the tool's role as dataset metadata retrieval, listing exactly what it returns (counts, latest observation date, legal terms). It doesn't explicitly name alternatives or exclusions, but given that it accepts no parameters and siblings are clearly operational tools, the context is sufficient.

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