bestbuy_product_questions

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

No annotations are provided, so the description carries the full transparency burden. It discloses the response content (fields included), clarifies optionality ('with answers, when present'), and explicitly handles the edge case of no questions (returns an empty list, not an error). It does not mention network/API or other hidden behaviors, but for a read-style retrieval tool the disclosed details are strong.

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 three sentences, each earning its place: first states the main action, second details the returned content, and third explains the SKU source and the empty-list behavior. It is compact, readable, and front-loads the core purpose.

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 single-parameter tool with no output schema and no annotations, the description is fully sufficient: purpose, exact parameter meaning, how to find SKUs, response content, and an important edge case are all documented. There is no missing information that would prevent an agent from selecting and invoking the tool correctly.

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% for the single sku parameter, so the baseline is 3. The description adds value by explaining where to find the sku (numeric SKU shown on bestbuy.com product pages and URLs) and clarifying the no-questions behavior, going beyond the schema's basic 'Numeric Best Buy SKU' definition.

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 uses a specific verb ('Get'), names the exact resource ('Best Buy product's customer questions and answers'), and details the returned fields (question text, answer text, who answered, when). This clearly distinguishes it from sibling tools like bestbuy_product_reviews and bestbuy_product without needing to open their definitions.

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 makes its scope and use context explicit: it returns customer Q&A embedded on Best Buy product pages, with no questions yielding an empty list. While it doesn't name alternatives or provide when-not-to-use guidance, the functionality is presented clearly enough that an agent can infer when to choose this tool over the related bestbuy_product/reviews siblings.

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