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

Annotations only cover readOnlyHint and openWorldHint; the description adds real behavioral content beyond them: the strict recall-matching rule (barcode, or brand plus every product-name word) and the interpretive caveat that reports do not show the product caused the event. It stops short of disclosing result counts, pagination, or what an empty result means.

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?

Four sentences, front-loaded with what the tool returns and how to address a product, then the matching caveats. No filler, though the causal disclaimer could be folded more tightly into the return-description sentence.

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?

With no output schema, the description carries the return-shape burden and does describe the two result categories (listed recalls, counted adverse events with common reactions). For a 5-parameter, all-optional tool it is nearly complete, missing only edge behavior such as zero-match handling.

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 coverage is 100%, so the baseline is 3, but the description genuinely adds semantics: it explains how upc, brand/name, and DSLD identifiers feed the recall-matching logic, not just listing them. The synergy between 'brand' + 'name' and the recall inclusion rule is spelled out rather than left to the schema.

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 verb (retrieve) and resource (FDA recalls and CAERS adverse event reports) for one supplement, sourced from openFDA. This resource is categorically distinct from every sibling (products_get, products_search, products_lookup, interactions_check, stack_analyze), so an agent can route to it without opening another 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?

Gives concrete input guidance ('Give a product name, barcode, DSLD ID, or brand and name') and explains the matching constraint that governs result inclusion, which implies how to drive the tool. However, it never states when to prefer this over siblings like products_lookup or products_get, nor any when-not conditions.

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