{
    "action": "tool_call",
    "reasoning": "Profile data quality across all five monthly tables in one query: nulls, non-numeric or very old Founded values, and duplicate company names per month.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH allr AS (SELECT 'Jan' m, \"Company Name\" c, CAST(Founded AS VARCHAR) f, Location l, Sector s, Amount a, Stage st FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", CAST(Founded AS VARCHAR), Location, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", Founded, Location, Sector, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT m, COUNT(*) n, COUNT(*) FILTER (WHERE c IS NULL) null_name, COUNT(*) FILTER (WHERE f IS NULL) null_founded, COUNT(*) FILTER (WHERE TRY_CAST(f AS INTEGER) IS NULL AND f IS NOT NULL) nonnum_founded, COUNT(*) FILTER (WHERE TRY_CAST(f AS INTEGER) < 1950) old_founded, COUNT(*) FILTER (WHERE a IS NULL) null_amt, COUNT(*) FILTER (WHERE st IS NULL) null_stage, COUNT(*) FILTER (WHERE l IS NULL) null_loc, COUNT(*) - COUNT(DISTINCT c) dup_names FROM allr GROUP BY m ORDER BY m",
        "purpose": "Profile nulls, non-numeric/old Founded, duplicates per month",
        "source": "raw"
    }
}