Server has 9 well-named tools with complete input schemas and descriptions. Naming follows verb_noun convention (search_foods, get_food, log_food, etc.). All tools have descriptions 50-200+ chars. Input parameters are typed and described. However, output schemas are not documented in the source, LLMs cannot see what fields to expect from responses. Error handling is minimal; no recovery guidance or actionable error messages visible. No tool annotations (readOnlyHint/destructiveHint) despite clear risk levels. Parameter descriptions lack format constraints (e.g., date format, unit enums). Missing idempotency guidance for write operations.

• Document output schemas for all tools. Example: search_foods returns {foods: [{food_id, food_name, food_description, servings: [{serving_id, serving_description, calories, ...}]}], total_results}. Include field types and which are required.
• Add tool annotations: mark log_food, log_amount, create_custom_food, replace_entry, delete_entry with destructiveHint=true; mark search_foods, get_food, get_diary, get_diary_range with readOnlyHint=true.
• Convert free-form 'meal' parameter to enum: {type: 'string', enum: ['Breakfast', 'Lunch', 'Dinner', 'Other']}. Remove 'Snack' from description since API rejects it.
• Add error recovery hints in tool descriptions. E.g., log_food: 'If food_id is invalid, call search_foods() to find the correct ID. If serving_id is invalid, call get_food() to list available servings.'
• Implement dry-run for delete_entry: add optional 'confirm' parameter (default false). When false, return 'Would delete entry X (food: Y, date: Z). Call again with confirm=true to proceed.' This prevents accidental deletions.