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

The read-only, idempotent, non-destructive annotations already establish the safety profile, and the description adds useful context that results are current discounts with price, full price, and discount fields. However, it does not clarify freshness/source, limits, or behavior across multiple brand domains beyond what annotations and schema imply.

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 efficiently packed sentence with the core purpose and return fields front-loaded. Every clause contributes either sorting behavior or output content.

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 no output schema, the description usefully names the returned fields: price, full price, and discount. Combined with rich schema coverage and clear read-only annotations, this is nearly complete for a simple listing tool, though it could better explain multi-domain behavior and default limits.

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 the schema already documents sort, limit, and domains, including defaults and bounds. The description reinforces the sort modes (percent, amount, newest) but adds no syntax or 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?

The description gives a specific resource and operation: a brand's most-discounted products, with sort modes for percent, amount, or newest discounts. It is clear what data is returned, but it does not explicitly distinguish itself from sibling discount-analysis tools such as get_discount_frequency_and_depth.

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 current top discounts but gives no explicit when-to-use guidance, prerequisites, or comparison to overlapping siblings. An agent must infer that this is the product-level listing tool rather than the discount-analysis tool.

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