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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is established. The description adds useful behavioral context about filtering and clarifies that Class 1 is most severe. It does not disclose return format, pagination, or data update cadence, but the annotation burden reduction makes this acceptable.

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 two compact sentences that front-load the domain and filter capabilities, then add relevant use cases. Every sentence earns its place with no redundancy or filler.

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 recall lookup with five optional parameters, the description is functional and covers core purpose, filters, and use cases. However, with no output schema, it does not describe what the returned recall records look like or what happens when no filters are supplied. This is a moderate gap but not disabling for an agent.

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 parameters are already well documented. The description only paraphrases the filterable dimensions and adds the synonym 'recalling manufacturer,' which aligns with the query parameter's 'recalling firm' wording. It adds little 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?

The description clearly identifies FDA medical device recalls as the resource and specifies the main filter dimensions: device name, manufacturer, classification, and date range. It distinguishes itself from sibling recall tools by focusing on 'medical device' recalls, though it does not use an explicit verb like 'Retrieves' or 'Searches.'

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 names practical use cases: medical device supply chain monitoring and hospital biomed compliance. However, it does not explicitly state when to choose this tool over fda_drug_recalls, fda_food_recalls, cpsc_recall_search, or vehicle_recalls. The device-specific wording implies the right context but leaves exclusions unstated.

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