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

No annotations are supplied, so the description carries the full behavioral burden. 'Recent' hints at a recency window and the listed fields describe the record shape, but nothing is said about the underlying data source, freshness lag, pagination, or what happens when no records match.

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?

A single front-loaded sentence that leads with the resource and scope, then filters. It is slightly padded by enumerating return fields (firm, product, reason, status, quantity) that the existing output schema already documents.

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 an output schema present, describing return fields was unnecessary; the real gaps are the undocumented kind enumeration/default and the days and limit semantics. It is adequate to attempt a call, but an agent would guess at the kind values and window behavior.

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 0% and all five parameter names are cryptic (q, days, kind, limit, classification). The description partially compensates by mapping q->keyword, classification->class I/II/III, days->age, and by naming food/drugs/devices which correspond to the kind values, but it leaves the kind default ('food') and limit semantics unexplained.

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?

Names a specific verb/resource pair (recent FDA recall and enforcement reports) and scopes it to food, drugs and medical devices, which implicitly separates it from vehicle_recalls and fda_drug_label. It stops short of explicitly routing the agent away from those similar siblings.

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 phrase 'filterable by keyword, class and age' implies how to narrow results, but there is no explicit statement of when to use this versus vehicle_recalls, fda_drug_label, or food_product, nor any exclusions or prerequisites.

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