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

Annotations already declare readOnlyHint=true, and the description adds useful context beyond that: the tool is free, indexes public FDA/USDA/CPSC notices, and the official agency notice is authoritative with a confirmation caveat. It does not describe the exact return format, but for a read-only listing tool the added source and authority context is valuable.

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?

The description is short and front-loaded with the core purpose, followed by useful source and authority context. The word 'Free' is somewhat filler but not harmful, and the overall structure is compact and readable.

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 simple no-argument listing tool with read-only annotations, the description covers the main need: what is listed, which agencies are indexed, and a reliability caveat. It is slightly light on exact output structure, but the absence of parameters and output schema keeps the gap minor.

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 tool has zero parameters and the schema coverage is effectively 100%, so there are no parameter semantics for the description to clarify. Baseline for zero-parameter tools is 4, and the description adds no conflicting or missing parameter information.

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 title and first sentence make clear this tool lists the agencies RecallRadar indexes along with their labels, and the named agencies (FDA, USDA FSIS, CPSC) distinguish it from recall/search/diff siblings. However, the description's first sentence is a noun phrase rather than an explicit verb+resource statement, so it leans on the title for the 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?

There is no explicit guidance on when to use this tool versus alternatives such as search_recalls or get_recall. The description offers general context about RecallRadar's data sources but no conditions, exclusions, or routing hints.

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