Five tools with complete schemas and descriptions, but significant quality gaps. All tools have descriptions (10-50 chars, below the 50-200 char baseline for LLM optimization). Schemas are present and properly typed, but parameter descriptions are minimal and lack actionable guidance. No error handling documentation, no enum constraints for constrained inputs (e.g., 'level' accepts 'critical|active|timeSensitive|passive' but is a free-form string), and no output schema documentation. Tool names follow verb_noun convention (push, device_register, device_check, server_ping, server_info) but descriptions are terse Chinese text that doesn't explain WHEN to use each tool or what happens on failure. Parameter descriptions lack format/range guidance (e.g., 'volume(0-10)' is in description but not enforced as a constraint). No idempotency hints, no recovery guidance for errors.

• Expand tool descriptions to 50-200 characters. Example: 'push' → 'Send a push notification to an iOS device registered with Bark. Specify title, body, sound, and optional metadata (badge, icon, URL). Returns success/failure with device key used.'
• Convert constrained inputs to enum schemas. For 'push.level', declare enum: ['critical', 'active', 'timeSensitive', 'passive']. For 'archive' and 'call', use boolean type instead of string.
• Document output schemas for all tools. Example: 'push returns {success: bool, device_key: string, message_id: string, timestamp: ISO8601}'. This enables downstream tool chaining.
• Add error handling guidance to descriptions. Example: 'If device_key is invalid, returns error 'Device not found'. Try device_check(device_key) first, or device_register() to add a new device.'
• Add parameter constraints to descriptions. Example: 'volume: integer 0-10 (default 5)' and 'badge: integer >= 0'. Validate inputs server-side and return actionable error messages like 'Invalid volume: got 15, must be 0-10'.