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Scored across 12 tools
Most tools are sharply separated, and the descriptions actively disambiguate with explicit 'not for X' cross-references (seller_reviews vs product_reviews, product_details vs product_details_batch, offers_stock vs product_details). The main residual overlap is seller_products vs search with seller_id=, and product_details vs product_details_batch, where an agent could still plausibly reach for the wrong one.
All names are snake_case and the `_batch` suffix is applied consistently (product_details_batch, seller_profile_batch). However the set mixes noun-resource names (seller_reviews, product_details, best_sellers, deals) with verb-style names (search, list_capabilities, send_feedback), so there is no single predictable verb_noun pattern.
Twelve tools sit comfortably in the well-scoped range, with nine domain tools plus one discovery tool and one feedback tool covering the meta needs of a paid API. Each paid tool maps to a distinct Amazon data surface, and no obvious redundant variants inflate the count.
The surface covers the core Amazon scrape domain well: search, product details (single and batch), product reviews, seller reviews, offers/stock, seller profile, seller catalog, best-sellers ranks and deals, plus a free capability listing. Minor gaps remain — e.g. no category/browse-node tree endpoint independent of best_sellers, and no direct way to expand a single seller offer or deal to full product data without a second call.
