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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, so the safety and idempotency profile is fully covered. The description adds only that these are authoritative FDA 'enforcement actions', which is modest context. It says nothing about result ordering, pagination, or the practical meaning of a recall record beyond the annotations.

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: the first identifies the dataset and the filterable axes, the second lists target use cases. No filler, and the core identity is front-loaded.

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 zero-required-parameter search tool with 100% schema coverage and no output schema, the definition covers identity, filters, and audience adequately; annotations carry the safety profile. The only minor gap is that it does not characterize the shape of returned recall records, which matters somewhat given no output schema exists.

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%: all six parameters including limit bounds, classification enum values I/II/III, state format, and ISO date bounds are documented in the schema. The description merely restates the filterable dimensions (product description, classification, state, date range), adding no format or edge-case detail beyond the structured fields. Baseline 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?

The description names a specific dataset and resource: 'FDA food enforcement actions (food recalls)', which the parenthetical disambiguates from the sibling fda_drug_recalls and fda_device_recalls. It does not explicitly name those siblings, but the 'food' scope is unambiguous. An agent can identify what this returns 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?

It lists intended domains – 'retail food safety monitoring, supply chain compliance, restaurant management' – which implies when the tool is useful. However, it gives no when-not guidance and does not route the agent to alternatives like cpsc_recall_search, recall_screen, or fda_drug_recalls, which are the natural confusables in this catalog.

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