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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds domain context (public FDA enforcement data) but does not disclose return-shape, pagination behavior, or data limitations. This is acceptable given the strong 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 compact sentences, front-loaded with the key subject and filter capabilities, followed by practical use cases. No wasted words or redundant restatement of schema details.

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?

The combination of a fully documented parameter schema, clear annotations, and a description covering data source, filters, and use cases is sufficient for an agent to select and call the tool. No output schema exists, but for a read-only filtered listing tool the expected return behavior is fairly predictable.

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 all six parameters are already documented. The description reinforces which filters matter (product description, classification, state, date range) but adds no syntax or value beyond the schema, matching the baseline of 3.

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 clearly identifies FDA food recalls as the resource and states the available filtering actions (product description, classification, state, date range). This differentiates it from closely related siblings like fda_drug_recalls and fda_device_recalls without needing to open their schemas.

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 gives explicit use contexts: retail food safety monitoring, supply chain compliance, and restaurant management. It does not name exclusions or alternative tools, but the intended scenarios are clear enough to guide selection.

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