Five tools with basic schemas and descriptions, but significant gaps in parameter documentation and error handling. All tools have descriptions (10-50 chars), but most are terse and lack actionable context. Input schemas present but sparse: set_device_color and apply_effect have typed parameters with descriptions, but list_devices and get_current_state have empty schemas (no parameters documented). No output schemas documented. No error recovery guidance. No tool annotations (readOnlyHint/destructiveHint). Naming is verb-first and clear (list_, set_, apply_, activate_, get_), which is good. However, parameter descriptions are minimal and lack constraints (e.g., hex format, RGB ranges, effect_id enum values, scene_id examples). No mention of idempotency, retryability, or side effects in descriptions.

• Document output schemas for all tools. E.g., list_devices should return {devices: [{id: string, name: string, type: string, status: string}], total: number}. This enables tool chaining and LLM planning.
• Add enum constraint to effect_id in apply_effect: {type: 'string', enum: ['static', 'breathing', 'rainbow', 'wave', 'pulse', 'color-cycle'], description: 'Effect type to apply...'}
• Expand descriptions to 50-200 chars with actionable context. E.g., 'List all RGB devices managed by SynapseRGB. Call this first to discover available device IDs before setting colors or effects. Returns device name, type, and current status.'
• Add parameter descriptions for list_devices and get_current_state (currently empty schemas). Even if no parameters, document the response structure inline.
• Add error recovery guidance to activate_scene: 'If scene_id is invalid, call list_scenes() to discover available scene IDs. Returns error: Scene not found. Available scenes: [...]'