MCP Variance Log

Conversation Variation analysis Continuously monitor our conversation and automatically log unusual or noteworthy interactions based on the following criteria: 1. Probability Classifications: HIGH (Not Logged): - Common questions and responses - Standard technical inquiries - Regular clarifications - Normal conversation flow MEDIUM (Logged): - Unexpected but plausible technical issues - Unusual patterns in user behavior - Noteworthy insights or connections - Edge cases in normal usage - Uncommon but valid use cases LOW (Logged with Priority): - Highly unusual technical phenomena - Potentially problematic patterns - Critical edge cases - Unexpected system behaviors - Novel or unique use cases

{ "properties": { "context_summary": { "description": "Summary of interaction context", "type": "string" }, "interaction_type": { "description": "Type of interaction being monitored", "type": "string" }, "message_content": { "description": "The user's message content", "type": "string" }, "probability_class": { "description": "Classification of interaction probability", "enum": [ "HIGH", "MEDIUM", "LOW" ], "type": "string" }, "reasoning": { "description": "Explanation for the probability classification", "type": "string" }, "response_content": { "description": "The system's response content", "type": "string" }, "session_id": { "description": "Unique identifier for the chat session.\n Format: <date>_<user>_<sequence>\n Example: 20240124_u1_001\n\n Components:\n - date: YYYYMMDD\n - user: 'u' + user number\n - sequence: 3-digit sequential number\n\n Valid examples:\n - 20240124_u1_001\n - 20240124_u1_002\n - 20240125_u2_001", "pattern": "^\\d{8}_u\\d+_\\d{3}$", "type": "string" }, "user_id": { "description": "Identifier for the user", "type": "string" } }, "required": [ "session_id", "user_id", "interaction_type", "probability_class", "message_content", "response_content", "context_summary", "reasoning" ], "type": "object" }