{
    "action": "tool_call",
    "reasoning": "I have distinct counts for the first 16 columns from step-0. The dataset has 44 columns total according to the card. I need to get distinct counts for the remaining categorical columns: education (4 columns), employment (2), race (4), region (4), occupation (9), plus the metadata columns (_ingestion_timestamp, _batch_id, _source_file, _source_system). I'll query for all remaining columns in one SELECT to complete the profile.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(DISTINCT \"Education: Less than HS\") as distinct_education_less_than_hs, COUNT(DISTINCT \"Education: High school\") as distinct_education_high_school, COUNT(DISTINCT \"Education: Some college\") as distinct_education_some_college, COUNT(DISTINCT \"Education: Bachelor+\") as distinct_education_bachelor_plus, COUNT(DISTINCT \"Employment: Full-time\") as distinct_employment_full_time, COUNT(DISTINCT \"Employment: Part-time\") as distinct_employment_part_time, COUNT(DISTINCT \"Race: White, Non-Hispanic\") as distinct_race_white, COUNT(DISTINCT \"Race: Black, Non-Hispanic\") as distinct_race_black, COUNT(DISTINCT \"Race: Hispanic\") as distinct_race_hispanic, COUNT(DISTINCT \"Race: Other/2+, Non-Hispanic\") as distinct_race_other, COUNT(DISTINCT \"Region: Northeast\") as distinct_region_northeast, COUNT(DISTINCT \"Region: Midwest\") as distinct_region_midwest, COUNT(DISTINCT \"Region: South\") as distinct_region_south, COUNT(DISTINCT \"Region: West\") as distinct_region_west, COUNT(DISTINCT \"Occupation: Software & IT\") as distinct_occupation_software_it, COUNT(DISTINCT \"Occupation: Managers\") as distinct_occupation_managers, COUNT(DISTINCT \"Occupation: Business, finance & legal\") as distinct_occupation_business, COUNT(DISTINCT \"Occupation: Education & social services\") as distinct_occupation_education, COUNT(DISTINCT \"Occupation: Engineering & science\") as distinct_occupation_engineering, COUNT(DISTINCT \"Occupation: Healthcare\") as distinct_occupation_healthcare, COUNT(DISTINCT \"Occupation: Sales, office/admin & creative\") as distinct_occupation_sales, COUNT(DISTINCT \"Occupation: Manual & in-person services\") as distinct_occupation_manual, COUNT(DISTINCT \"Occupation: Other (please specify)\") as distinct_occupation_other, COUNT(DISTINCT _ingestion_timestamp) as distinct_ingestion_timestamp, COUNT(DISTINCT _batch_id) as distinct_batch_id, COUNT(DISTINCT _source_file) as distinct_source_file, COUNT(DISTINCT _source_system) as distinct_source_system, COUNT(DISTINCT question_number) as distinct_question_number, COUNT(DISTINCT question_verbatim) as distinct_question_verbatim_check, COUNT(DISTINCT response_verbatim) as distinct_response_verbatim_check FROM raw.polling_on_ai_usage_jul_2026",
        "purpose": "Get distinct counts for all remaining categorical columns to complete the profile",
        "source": "raw"
    }
}