get_product_variants

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

No annotations are provided, so the description bears full responsibility. It mentions the API endpoint and that it retrieves data, but does not disclose safety, side effects, error handling, or other behavioral traits. The description is adequate but lacks explicit read-only or mutation clarity.

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 extremely concise—two sentences that cover the tool's purpose and the underlying API endpoint. Every word contributes value, and there is no redundant or extraneous information.

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?

Despite the absence of an output schema, the description is fairly complete by specifying that variants include a size×color inventory matrix. For a simple read tool with one parameter, this provides sufficient context for an AI agent to understand what data to expect.

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 coverage is 100% with only one parameter (product_id) described as '商品 ID'. The description does not add additional meaning beyond the schema, so the baseline score of 3 is appropriate per guidelines.

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 retrieves all SKU variant details for a specific product, including a size×color inventory matrix. This distinguishes it from sibling tools like get_product_list or get_inventory_overview, which serve different purposes.

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 usage when needing variant-level details for a product, but it does not explicitly state when to use this tool over alternatives, nor does it provide exclusions or prerequisites. Guidance is purely implicit.

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