Four well-named tools with clear, actionable descriptions (avg 156 chars). All tools have complete input schemas with typed parameters and descriptions. Tool names follow verb_noun pattern (list_, get_, compare_, recommend_). Schemas use proper JSON Schema with enums, required fields, and constraints. Output structure is implicit but reasonable for a read-only dataset tool. No error handling guidance or recovery hints in descriptions. No tool annotations (readOnlyHint, etc.). Parameter descriptions are solid but could be more prescriptive about valid ranges and formats.

• Add readOnlyHint: true to all four tool definitions to signal to clients that these are safe, non-mutating operations.
• Document output schemas for each tool. E.g., list_robot_mowers returns {rows: [{model, brand, score, price_usd, ...}], total: number}. get_robot_mower returns {model, brand, summary, scores: {...}, specs: {...}}.
• Add error recovery hints to descriptions: 'If model not found, try list_robot_mowers() with a brand filter to discover available models.' Similar guidance for compare_robot_mowers and recommend_robot_mower.
• Tighten parameter descriptions with explicit constraints: 'max_price_usd: number >= 0', 'limit: integer, 1 - 23 (default 10)', 'min_score: 0 - 5 (default 0)'.
• Add total_count and next_cursor to list_robot_mowers response to enable proper pagination and prevent context window exhaustion on large datasets.