{
    "action": "tool_call",
    "reasoning": "The evidence from earlier steps is not visible to me, so I cannot cite those numbers safely. I will re-run one format profile of Amount across all five tables to ground the data-quality answer.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'January' AS month, \"Amount\" AS amt FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'February', \"Amount\" FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'March', \"Amount\" FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'April', \"Amount\" FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', \"Amount\" FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT month, COUNT(*) AS total_rows, SUM(CASE WHEN amt IS NULL OR TRIM(amt) = '' THEN 1 ELSE 0 END) AS blank_or_null, SUM(CASE WHEN LOWER(TRIM(amt)) = 'undisclosed' THEN 1 ELSE 0 END) AS undisclosed, SUM(CASE WHEN regexp_matches(amt, '^\\$[0-9]{1,3}(,[0-9]{3})+$') THEN 1 ELSE 0 END) AS clean_dollar_commas, SUM(CASE WHEN regexp_matches(amt, '^[0-9]{1,3}(,[0-9]{3})+$') THEN 1 ELSE 0 END) AS no_dollar_sign, SUM(CASE WHEN regexp_matches(amt, '^\\$[0-9]+\\.[0-9]+$') THEN 1 ELSE 0 END) AS short_decimal, SUM(CASE WHEN regexp_matches(amt, '^\\$?[0-9]+$') THEN 1 ELSE 0 END) AS no_separators FROM u GROUP BY month ORDER BY total_rows DESC",
        "purpose": "Profile Amount format quality per monthly table",
        "source": "raw"
    }
}