Server defines 4 tools with basic descriptions and input schemas. However, critical gaps undermine quality: parameter descriptions are minimal or absent (e.g., 'Product ID' for get_product lacks context on format/constraints), output schemas are completely undocumented, error handling provides no recovery guidance, and the purchase tool (IRREVERSIBLE) lacks confirmation/dry-run pattern. Tool names follow verb_noun convention (positive), but descriptions average ~50 chars, below the 194-char baseline for A+ tools. No tool annotations (readOnlyHint/destructiveHint) despite having both read and write operations. Schema definitions visible but sparse.

• Document output schema for each tool. Example: search_products returns {products: [{id, name, origin, roast, price}], total_count}. This enables LLMs to chain calls correctly.
• Add confirmation/dry-run pattern to purchase tool. Implement a 'dry_run' boolean parameter or separate 'preview_purchase' tool that returns order summary without charging.
• Expand parameter descriptions to 50 - 100 chars with format/range constraints. E.g., 'quantity (number, 1 - 1000): Units to purchase. Must be in stock.' instead of 'Quantity to purchase'.
• Add tool annotations via server.tool() metadata. Mark search_products, get_product, check_availability with readOnlyHint=true; mark purchase with destructiveHint=true.
• Implement structured error responses with recovery hints. E.g., {error: 'Product not found', code: 'NOT_FOUND', suggestion: 'Try search_products() with a partial name', retryable: false}.