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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. With no output schema, the description earns credit by disclosing return content (booster + primary series percentages over time), which the structured fields do not provide. It stops short of mentioning pagination or rate limits.

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?

Three tight sentences, front-loaded with the resource and scope, then the return content and a use case. Little waste; the cryptic dataset id is the only slightly opaque element.

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 small read-only query tool with full parameter coverage, safe annotations and no output schema, the description supplies enough return-content context to call it competently. Only the absence of guidance on choosing it over sibling CDC tools leaves a minor gap.

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%, so limit, recip_state and recip_county are already fully documented in the schema. The description mentions 'US county' but adds no format or filtering semantics beyond what the schema states, so the baseline of 3 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?

States a specific resource (COVID-19 vaccination coverage) and scope (by US county), which clearly separates it from CDC siblings like cdc_flu_surveillance or cdc_drug_overdose_deaths. The unexplained dataset id '(8xkx-amqh)' and noun-phrase phrasing keep it just short of ideal, but an agent knows exactly what data this returns.

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?

'Useful for public-health gap analysis' implies a use case but gives no explicit when-to-use, when-not-to-use, or comparison against the many sibling CDC/health tools or the generic cdc_dataset_query. Usage must be inferred.

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