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Industrialized FastMCP server for Home Assistant orchestration with autonomous smart home control, conversational AI interfaces, and comprehensive automation capabilities
Critical gaps across naming, descriptions, and schemas. Tool names lack clear action verbs (ha_tool, ha_agentic_workflow are vague). Many tools have descriptions under 20 chars or missing entirely. Input schemas visible for some tools but lack proper type definitions and parameter descriptions. No output schemas documented. Error handling absent. Tools 4-9 appear inferred from web UI code, not actual MCP registration. This server would not pass production code review.
Scene activation with transition control enabling smooth scene transitions with customizable timing
Execute a Home Assistant service call (turn_on, turn_off, set_temperature, etc.)
Comprehensive climate control with advanced HVAC features including multi-zone control and scheduling
Advanced light control with comprehensive lighting options including color, brightness, effects, and transitions
Process a natural language command through Home Assistant's conversation agent
Advanced automation execution with variable passing supporting complex automation triggers with custom data
Tools 4-9 (get_entity_state, list_entities, call_service, list_automations, trigger_automation, converse) appear inferred from web UI code (web_sota/src/pages/tools.tsx), not explicitly registered in MCP server code. No input schemas visible in source.
Tool names lack clear action verbs. 'ha_tool' is a catch-all; 'ha_agentic_workflow' and 'orchestrate_smart_home' are vague about what they do. LLMs cannot infer intent from these names alone. Should be: 'execute_ha_service', 'get_ha_state', 'trigger_automation_by_id'.
No output schemas documented for any tool. LLMs cannot plan downstream calls or extract required fields. control_light, control_climate, and others return unspecified structures. Must document: field names, types, required vs optional, and chaining IDs (entity_id, domain, etc.).
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 50 | <=2025-11-25 | v2 |
Retrieve the current state and attributes of any Home Assistant entity
Autonomous smart home orchestration with AI-powered multi-device coordination and natural language goal execution
Multi-level help system for Home Assistant MCP with category-based documentation
Unified Home Assistant tool supporting multiple operations: get_states, get_state, call_service, get_config, get_automations, trigger_automation
List all configured automations with their triggers and actions
List all registered entities, optionally filtered by domain (light, sensor, switch, etc.)
Advanced security monitoring configuration with comprehensive security system management and AI-powered anomaly detection
Energy optimization configuration with intelligent energy management and learning capabilities
Autonomous smart home orchestration request enabling AI-powered multi-device coordination with natural language goals
Advanced template rendering with variable substitution supporting complex Jinja2 templates with Home Assistant state integration
Manually trigger a specific automation by id
No error handling or recovery guidance. Tools lack descriptions of failure modes, retryability, or what the LLM should do next. E.g., 'trigger_automation' does not explain what happens if automation_id is invalid or if the automation fails to execute.
Descriptions are generic or too short. 'ha_help' (40 chars), 'converse' (35 chars), 'optimize_energy' (45 chars) lack context for LLM selection. Should explain WHEN to use each tool, what it returns, and how it differs from similar tools. Baseline: 194 chars average for A+ tools.