Apple Reminders MCP has 8 tools with consistent naming (verb_noun pattern) and basic descriptions. However, descriptions are generic and lack LLM-optimization guidance. Parameter descriptions exist but are minimal (10-30 chars). Output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal; most tools return bare dicts without recovery guidance. No input validation constraints (enums, ranges) are declared. Tool composition is reasonable but lacks pagination for list operations.

• Add explicit output schema documentation to each tool. Example: 'Returns list of dicts with keys: {name: str, count: int, incomplete: int}' for list_reminder_lists.
• Expand parameter descriptions to 50-100 chars with constraints and examples. E.g., 'priority: One of [high, medium, low, none]. Defaults to none if omitted.'
• Declare priority as enum in add_reminder schema: {"type": "string", "enum": ["high", "medium", "low", "none"]}.
• Add pagination to list_reminders and list_reminder_lists: accept limit (1-100, default 20) and offset parameters; return total count.
• Enhance error responses with recovery guidance. E.g., 'List not found: "X". Call list_reminder_lists() to see available lists.' instead of bare error dict.