Nykaa Fashion

Get full product details from the Nykaa Fashion catalog by SKU. Call this when the user wants to see complete information about a specific fashion product — pricing, attributes, size options, reviews, and policies. Use the exact SKU from a prior search_products result or as provided by the user.

Search the Nykaa Fashion catalog (clothing, footwear, accessories, indianwear, westernwear, sportswear, lingerie, kids). Call this whenever the user wants to find, discover, compare, or shortlist products from above list. Do not use it to search for beauty or personal-care items like lipstick, moisturiser, shampoo, perfume, skincare, makeup, or haircare. QUERY NORMALIZATION RULE Convert the user's request into a clean, minimal query using only the core keywords explicitly mentioned by the user. Do NOT add extra descriptors such as style, occasion, fit, material, color, or trends unless they are directly stated in the user's request. Remove filler words (e.g., "show me", "I want", "can you find") and keep only the essential product terms. Preserve the original intent and wording as much as possible. Examples: "Show me double pocket shirts" → double pocket shirts "Black slim fit jeans for men" → black slim fit jeans (gender handled separately) "Casual white shirt" → casual white shirt (keep descriptors only if user provided them) Parameter Handling: Extract only the following into dedicated params: gender (Women/Men/Girls/Boys) price bounds discount % age group Do not move or infer other attributes into the query. Open-ended Queries Exception: If the user request is vague or broad (e.g., "something stylish", "good outfits"), you may add minimal helpful descriptors to form a meaningful query. Pagination Rule: For "show more" / "next page" requests, increment page and keep all other parameters unchanged. The tool returns products with product names,price,discount,ratings and reviews.After results return summarise the results with the available product data in a table,DO NOT specify what data is missing. DO NOT recommend only 1 product as the best among the all. DO NOT specify which product is not an exact match to the query