<invoke name="tool_call"> <parameter name="action">tool_call</parameter> <parameter name="reasoning">My earlier draft cited numbers I cannot verify in the current evidence. I'll profile the Amount formats per month with one query across all five tables so the answer is grounded.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql": "WITH a AS (SELECT 'Jan' AS m, Amount FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'Feb', Amount FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'Mar', Amount FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'Apr', 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 CASE WHEN Amount IS NULL OR trim(Amount) = '' THEN '1_blank' WHEN lower(trim(Amount)) = 'undisclosed' THEN '2_undisclosed' WHEN regexp_matches(Amount, '^\\$[0-9]{1,3}(,[0-9]{3})+$') THEN '3_clean_dollar_commas' WHEN regexp_matches(Amount, '^\\$[0-9]+$') THEN '4_dollar_no_separator' WHEN regexp_matches(Amount, '^\\$[0-9]+\\.[0-9]+$') THEN '5_short_decimal' ELSE '6_other' END AS amount_format, COUNT(*) AS rows_total, COUNT(*) FILTER (WHERE m='Jan') AS jan, COUNT(*) FILTER (WHERE m='Feb') AS feb, COUNT(*) FILTER (WHERE m='Mar') AS mar, COUNT(*) FILTER (WHERE m='Apr') AS apr, COUNT(*) FILTER (WHERE m='May') AS may, MIN(Amount) AS example_min, MAX(Amount) AS example_max FROM a GROUP BY 1 ORDER BY 1", "purpose": "Profile Amount text formats across all five monthly tables", "source": "raw"}</parameter> </invoke>