{
    "action": "tool_call",
    "reasoning": "I have column metadata from inspect_columns for cleandata and cleandata_v2, which shows semantic roles. However, the question asks for a classification across ALL tables in the dataset. I need to get a comprehensive view of all columns across all 10 tables. The most efficient approach is to query the meta.columns table which contains semantic_role, rough_kind, and phys_type for all columns across all tables. This will give me the complete picture needed to classify columns by their types.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT table_name, column_name, phys_type, semantic_role, rough_kind FROM meta.columns WHERE table_name NOT LIKE '%ingestion%' AND table_name NOT LIKE '%batch%' AND table_name NOT LIKE '%source%' ORDER BY table_name, column_name",
        "purpose": "Get complete column metadata across all tables to classify columns as identifiers, categorical dimensions, numeric metrics, or dates/times",
        "source": "raw"
    }
}