This server has a single tool 'execute_skill_action' with virtually no implementation visible. The mcp_server.py file contains only a stub that prints a JSON status message, no actual tool registration, schema definition, or parameter handling. The tool description exists but is generic (47 chars). No input schema is visible in the source code. The client.py and example_usage.py files show a separate client class unconnected to the MCP server, suggesting the server is non-functional. This is a skeleton project with no working tool infrastructure.

• Define a complete JSON Schema for execute_skill_action input parameters. Include type, description, and constraints for each parameter (e.g., primary_health_goal, prakriti_dosha). Reference the client.py formulate_ayurvedic_regimen() method signature.
• Expand tool description to 100 - 200 characters. Example: 'Generate a personalized Ayurvedic wellness regimen based on health goals and dosha type. Returns herbal formulations, diet protocols, and AYUSH certification status.'
• Rename tool to a more specific verb_noun pattern. Consider: 'generate_ayurvedic_regimen', 'formulate_nutrition_plan', or 'create_wellness_consultation'.
• Implement actual MCP protocol handling in mcp_server.py. Register the tool with schema, handle incoming tool calls, invoke the client logic, and return structured responses.
• Document output schema. Specify the structure of the response (consultation_id, dominant_dosha, ayurvedic_herbal_formulation array, doctor_curated_diet_protocol, ayush_certified_standard, clinical_efficacy_reported_pct, subscription_cadence_days).