Project Tango
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TDQS
Scored across 8 tools
Most tools have clearly distinct purposes, and the descriptions explicitly draw boundaries (e.g. find_orders as drill-down vs analyze_sales_metrics as aggregates, get_low_stock_alerts as flagging vs smart_restock_predictor as reorder quantities). The closest overlaps are get_low_stock_alerts/smart_restock_predictor (both scan low stock) and list_all_products/draft_product_copy (both resolve a product), but the output differences make selection reasonably clear.
Nearly all names are snake_case verb_noun: find_orders, draft_product_copy, list_all_products, get_low_stock_alerts, analyze_sales_metrics, simulate_order_placement, reset_demo_state. The single deviation is smart_restock_predictor, which uses a noun/adjective form with no leading verb, breaking the otherwise predictable pattern.
Eight tools is well-scoped for a simulated retail analytics/ops server, with each tool covering a distinct workflow (browse, search orders, analyze, alert, predict, write, reset). Nothing feels redundant or missing at the count level.
Read and analytics coverage is strong, and there is a write path (simulate_order_placement) plus recovery (reset_demo_state). However the order lifecycle is a dead end: fulfillment status is reported by analyze_sales_metrics but no tool can advance or update an order's status, cancel it, or adjust inventory outside of placing a new order; product management is also read-only.