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

Annotations already establish that this is a safe read-only operation. The description adds a useful behavioral detail beyond annotations: an empty result can mean the store does not use Q&A, which prevents misinterpretation of empty responses.

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 definition is a single focused sentence with no wasted words. The core return content is front-loaded, and the parenthetical empty-case note is compact and relevant.

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 simple two-parameter read tool with complete schema coverage and safety annotations, the description is largely sufficient. It explains what is returned and the empty-case condition, though it does not mention pagination or ordering.

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%, and the two parameters are fully documented in the schema. The description adds no additional meaning about store or product identifiers, so the baseline of 3 is appropriate.

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 identifies the resource as product-page questions and their store answers, which distinguishes it from reviews and other product data. It does not explicitly say 'list,' but the name and sentence together make the operation obvious.

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?

Usage is implied by the subject matter: fetch Q&A for a given store and product. However, there is no explicit when-to-use guidance or comparison to siblings such as list_product_reviews or get_product.

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