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Scored across 18 tools
The descriptions work hard to fence tools off with explicit USE WHEN / DON'T USE clauses, but the surface still contains three overlapping clusters: discovery (shopping vs search vs serp, plus bestsellers), keyword analysis (keywords vs keyword_rankings vs product_keywords), and current offers/history (offers vs product, which also returns an all-seller offer table). An agent with those clusters plus a live-vs-cached distinction to track will occasionally misselect, especially shopping vs search vs serp, whose boundaries are described rather than structural.
Names mix bare singular nouns (product, shopping, search, seller, brand, category, offers, deals, account, batch) with verb_noun forms (track_product, list_tracked) and noun_noun forms (keyword_rankings, product_keywords, market_lists). Nothing is chaotic and all names are readable, but there is no predictable pattern an agent can rely on and several nouns are vague in isolation (product, shopping, search).
18 tools is at the heavy end but each maps to a real, distinct Amazon/Walmart intelligence surface (product dossier, discovery, search, SERP, offers, deals, bestsellers, seller, brand, category, lists, keywords x3, tracking x2, batch, account). The count is justified by the breadth rather than padded, though the tiermarketplace/plan-gating means many tools stay invisible to free users.
Coverage is broad and lifecycle-complete in most directions: historical product dossiers, current offers, live pages, catalog search, discovery, brand/category/seller intelligence, keyword and reverse-ASIN, plus tracking and batch orchestration. Minor gaps: no standalone review retrieval (only embedded in product's detail path), no way to query historical price drops across a set, and alert management is only partially exposed via track_product/list_tracked.
