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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses the pagination mechanism ('paginate with page until has_next_page is false'), the filtering options, and the get_sentiment surcharge behavior. It does not mention rate limits or error cases, but the core behavioral traits are well covered.

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 two sentences with no filler. The first sentence front-loads the core purpose and return fields; the second sentence packs filtering and pagination guidance. Every clause earns its place.

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 read-only retrieval tool with 100% schema coverage and no output schema, the description covers the essential call pattern: what it returns, how to filter, and how to paginate. It does not describe the output structure, but since there is no output schema and the return fields are listed in the description, an agent has enough to invoke it correctly. Minor gaps like rate limits or error handling prevent a 5.

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 all five parameters. The description adds value by explaining the pagination loop ('until has_next_page is false') and the sentiment surcharge, which are not fully captured in the schema. It does not repeat parameter names, so it complements rather than duplicates 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 states a specific verb ('Get'), a specific resource ('customer feedback for an Amazon seller by seller ID'), and enumerates the exact data fields returned (author name, text, star rating, date, seller response). It is clearly distinguishable from sibling tools like amazon_seller_profile or amazon_seller_products, which target different resources.

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 gives clear context on when to use the tool: when you need customer feedback for a seller, with filtering by star rating or sentiment, and pagination instructions. It does not explicitly name alternatives or state when not to use it, but the context is strong enough for an agent to select it correctly among the many sibling tools.

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