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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=false), so the description's job is added context, and it delivers: it discloses what counts as a source, that population studies carry derived prevalence entries, and the granularity of returned data. What's missing is scale/pagination or ordering behavior for a potentially large list, which is a real but secondary gap.

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 sentences, zero filler, front-loaded with the scope of the result set before the filter enumeration and the sibling routing. The long enum list is a necessary lookup aid rather than padding.

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?

No output schema exists, and the description does carry the burden of describing return content well: sources plus their supported topics plus derived prevalence entries. Only ordering, pagination and rough result size are unaddressed, which is minor for a single-optional-parameter list tool.

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 100% and the single topic parameter is fully documented there. The description restates the enum values verbatim but adds no meaning beyond them — no note on what an unfiltered call returns versus a filtered one. Baseline 3 applies since the schema does the heavy lifting.

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?

Specific verb (lists) plus a precisely characterized resource: peer-reviewed studies with DOI/PMID, official statistics and guidelines, with the topics each supports. It also carves out an explicit boundary against the sibling get_reference, so an agent can distinguish it without opening the schema.

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?

States the filtering dimension with the full allowed values and then names the alternative for a different need ('Use get_reference for one full citation'), which is exactly the when/when-not routing an agent requires. The default (no filter) is implicitly the unfiltered list, and the topic options make selection unambiguous.

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