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Scored across 10 tools
Most tools have clearly distinct purposes: search/get/compare for drugs, find_us_equivalent vs foreign_brands_for_drug are cleanly separated by direction, and get_savings_card vs email_savings_card are distinct (retrieve vs send). The only mild overlap is get_drug vs compare_prices (both return prices), but their inputs and outputs differ enough (slug vs NDC) that an agent can choose correctly.
The set mostly follows a verb_noun pattern: search_drugs, get_drug, compare_prices, find_nearby_pharmacies, get_dataset_info, get_savings_card, email_savings_card, get_prescription_options, find_us_equivalent, foreign_brands_for_drug. Minor deviations: find_us_equivalent and foreign_brands_for_drug use a different verb style (find/foreign_brands_for) than the get_/search_/compare_/email_ pattern, but they are still readable and predictable.
10 tools is well within the ideal 3-15 range and each tool covers a distinct aspect of the domain: search, details, price comparison, pharmacy locations, dataset info, savings card, email, prescription options, and international equivalence (both directions). No tool feels redundant or extraneous.
The domain is consumer prescription savings, and the surface covers the full journey: resolving a drug name (search_drugs), getting details (get_drug), comparing prices (compare_prices), finding pharmacies (find_nearby_pharmacies), getting/sending the savings card (get_savings_card, email_savings_card), handling no-prescription or brand-costly situations (get_prescription_options), and international drug mapping in both directions (find_us_equivalent, foreign_brands_for_drug). Dataset info and attribution are also covered. No obvious dead ends.