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 that results include source pages and the regulator's safety-alert scheme, which is useful context. It does not disclose pagination, filtering behavior, or what happens when product_type is null, but the annotations lower the burden.

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 a single sentence that front-loads the core content (warnings and age limits) and then adds the regulatory scheme and source pages. It is concise and readable, though the phrasing 'the warning statements the market requires' is slightly awkward and could be clearer.

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 tool has an output schema, so return values are documented elsewhere. The description covers the main content and source attribution, but it does not explain how product_type filters results or whether market alone returns all product types. Given the sibling get_label_and_claims, more explicit differentiation would improve completeness.

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%, so the description must compensate. It explains that product_type refers to product categories like sunscreen, hair dye, aerosols, and children's products, and that market is the jurisdiction. However, it does not clarify the format of market (e.g., country code vs name) or the exact effect of omitting product_type, leaving some ambiguity.

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 states a specific resource (safety label) and what it returns: warning statements and age limits for a product type, plus the regulator's safety-alert scheme with source pages. It is clear enough to distinguish from generic get_item or get_label_and_claims, though it does not explicitly name a sibling alternative.

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 implies the tool is for retrieving market-required warnings and age limits, and the input schema shows market is required and product_type is optional. However, it does not explicitly state when to use this over get_label_and_claims or get_notification_requirements, nor does it mention 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.