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search_amazon

Search Amazon for products and retrieve listings with prices, ratings, and ASINs. Compare results across domains and sort by relevance, price, or reviews.

Instructions

Search Amazon and return product listings as JSON. Each result includes title, ASIN, price, rating, review count, and image URL. Use when the user wants to find products on Amazon or compare prices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesProduct search query, e.g. 'wireless noise cancelling headphones'.
domainNoAmazon domain suffix, e.g. 'com' (US), 'co.uk' (UK), 'de' (Germany), 'co.jp' (Japan).com
sort_byNoSort order for results.featured
start_pageNoStarting page number.
min_priceNoMinimum price filter in the domain's local currency.
max_priceNoMaximum price filter in the domain's local currency.
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions returning JSON but does not address side effects, authentication needs, rate limits, or data freshness. The read-only nature is implied but not explicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no wasted words. The first sentence front-loads purpose and output; the second provides usage guidance. Highly concise and structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description explains return fields but lacks details on pagination (start_page), sort behavior, domain handling, or error scenarios. For a search tool with 6 parameters and no output schema, more completeness is needed, but the basics are covered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the description adds no additional parameter semantics beyond what the schema already provides. Baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Search Amazon', the resource 'Amazon', and the output format 'JSON' with specific fields. It distinguishes from sibling tools like search_google and search_walmart by specifying Amazon and product listings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use when the user wants to find products on Amazon or compare prices,' providing clear usage context. It does not mention when not to use or list alternatives, but the context is sufficient for selection among siblings.

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

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