{
    "action": "tool_call",
    "reasoning": "No query results are in evidence yet, so I can't state any numbers. First I'll profile the format of the free-text Amount column across all five monthly tables in one query.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH allrows AS (SELECT 'Jan' AS m, \"Company Name\" AS c, Amount AS a, Founded::VARCHAR AS f FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", Amount, Founded::VARCHAR FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", Amount, Founded::VARCHAR FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", Amount, Founded::VARCHAR FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", Amount, Founded FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT CASE WHEN a IS NULL OR trim(a) = '' THEN 'blank/null' WHEN lower(a) LIKE '%undisclosed%' THEN 'undisclosed' WHEN regexp_matches(a, '^\\$[0-9]{1,3}(,[0-9]{3})+$') THEN '$ with comma thousands' WHEN regexp_matches(a, '^[0-9]{1,3}(,[0-9]{3})+$') THEN 'no $, comma thousands' WHEN regexp_matches(a, '^\\$[0-9]+\\.[0-9]+$') THEN '$ short decimal' WHEN regexp_matches(a, '^\\$[0-9]+$') THEN '$ no separators' WHEN regexp_matches(a, '^\\$?[0-9.,]+$') THEN 'other numeric/mixed separators' ELSE 'other text' END AS amount_format, COUNT(*) AS n_rows, MIN(a) AS example_min, MAX(a) AS example_max FROM allrows GROUP BY 1 ORDER BY n_rows DESC",
        "purpose": "Profile Amount value formats across all five tables",
        "source": "raw"
    }
}