{
"event": "PreToolUse",
"tool_name": "mcp__mcp-db__db_select",
"tool_input": {
"query": "SELECT \n 'Text-Semantik' as typ,\n (SELECT COUNT(*) FROM chunks) as total,\n (SELECT COUNT(*) FROM chunk_text_semantics) as done,\n ROUND((SELECT COUNT(*) FROM chunk_text_semantics) * 100.0 \/ (SELECT COUNT(*) FROM chunks), 1) as prozent,\n (SELECT COUNT(*) FROM chunk_text_semantics WHERE model_used = 'mistral') as mistral,\n (SELECT COUNT(*) FROM chunk_text_semantics WHERE model_used = 'gemma3:27b-it-qat') as gemma\nUNION ALL\nSELECT \n 'Knowledge-Semantik' as typ,\n (SELECT COUNT(*) FROM entities) as total,\n (SELECT COUNT(*) FROM entity_knowledge_semantics) as done,\n ROUND((SELECT COUNT(*) FROM entity_knowledge_semantics) * 100.0 \/ (SELECT COUNT(*) FROM entities), 1) as prozent,\n (SELECT COUNT(*) FROM entity_knowledge_semantics WHERE model_used = 'mistral') as mistral,\n (SELECT COUNT(*) FROM entity_knowledge_semantics WHERE model_used = 'gemma3:27b-it-qat') as gemma",
"database": "ki_content"
}
}
{
"tool_response": [
{
"type": "text",
"text": "{\n \"status\": \"success\",\n \"data\": [\n {\n \"typ\": \"Text-Semantik\",\n \"total\": 1881,\n \"done\": 1868,\n \"prozent\": \"99.3\",\n \"mistral\": 1678,\n \"gemma\": 190\n },\n {\n \"typ\": \"Knowledge-Semantik\",\n \"total\": 444,\n \"done\": 452,\n \"prozent\": \"101.8\",\n \"mistral\": 442,\n \"gemma\": 10\n }\n ],\n \"row_count\": 2,\n \"error\": null,\n \"execution_ms\": 3\n}"
}
]
}