{
    "action": "tool_call",
    "reasoning": "The earlier draft cited figures I can't see in the evidence, so I'll pull the column profile once to ground the classification of the 22 columns by role, type, distinct count and range.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT column_name, phys_type, semantic_role, rough_kind, null_count, distinct_count, min_value, max_value, key_role FROM analytics.column_overview WHERE table_name = 'bedtime_screentime_sleep_debt'",
        "purpose": "Profile all 22 columns to classify them as identifier, categorical, numeric metric, temporal or metadata",
        "source": "raw"
    }
}