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

Annotations already establish readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false. The description adds context about the data being FDA food recalls and filterable, but does not reveal additional behavioral traits such as pagination behavior or response structure. This is adequate given 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 with no filler. The core identity is front-loaded, followed by a compact list of filters and use cases. Every sentence contributes to tool selection and invocation.

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 read-only, filterable recall lookup with fully documented optional parameters, the description covers the essentials: what the tool returns, how to filter, and typical use cases. It omits explicit pagination or sorting details, but those are minor for this tool and no output schema is expected.

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?

The input schema has 100% parameter description coverage, so the schema carries the burden of explaining each parameter. The description's mention of 'product description, recall classification, state, or date range' loosely maps to query, classification, state, and date parameters but adds no new semantic detail beyond 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?

Description clearly identifies the resource: 'FDA food enforcement actions (food recalls)'. The word 'food' differentiates it from sibling tools like fda_drug_recalls and fda_device_recalls, and the filter hints make the tool's function obvious even without a verb.

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 provides clear use-case context: 'retail food safety monitoring, supply chain compliance, restaurant management.' It does not explicitly contrast with sibling recall tools or state when not to use it, so it stops short of a 5.

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