get_catalog_item

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only lists the fields returned (title, brand, image, dimensions) but does not mention whether the operation is read-only, potential errors (e.g., invalid ASIN), or any side effects. For a simple lookup tool, this is minimal but insufficient given the lack of annotation support.

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 action and resource. It is concise, contains no redundant information, and effectively communicates the tool's purpose without unnecessary detail.

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?

Given the tool's simplicity (one parameter) and the existence of an output schema, the description provides sufficient context for basic usage. It does not explain return structure, but that is covered by the output schema. The description lacks any mention of prerequisites or edge cases, but for a straightforward catalog lookup, this is acceptable.

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 schema has one required parameter 'asin' with zero description coverage. The description mentions 'by ASIN,' which adds context that the parameter is the Amazon Standard Identification Number, but it does not provide format details, examples, or validation rules. The description partially compensates for the low schema coverage but could be more explicit.

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 states the tool's function: retrieving a product's title, brand, image, and dimensions from the Amazon catalog by ASIN. It uses a specific verb ('Get') and resource ('product... from the Amazon catalog'), distinguishing it from sibling tools that focus on costs, orders, and inventory.

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 provides clear context on when to use the tool: when you need catalog product details by ASIN. It does not list alternatives or exclusions, but the sibling tools are clearly in different domains, so the intended usage is unambiguous. No explicit when-not-to-use is given, but the description's clarity makes this a minor gap.

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