<invoke name="tool_call"> <parameter name="reasoning">No gold coverage for this; compute exact distinct counts of categorical columns (Location, Sector, Stage, Investor, Company Name) for all five tables in one UNION ALL query.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql": "SELECT 'January' AS month, COUNT(*) AS row_count, COUNT(DISTINCT \"Company Name\") AS company_name, COUNT(DISTINCT Location) AS location, COUNT(DISTINCT Sector) AS sector, COUNT(DISTINCT Stage) AS stage, COUNT(DISTINCT Investor) AS investor FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'February', COUNT(*), COUNT(DISTINCT \"Company Name\"), COUNT(DISTINCT Location), COUNT(DISTINCT Sector), COUNT(DISTINCT Stage), COUNT(DISTINCT Investor) FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'March', COUNT(*), COUNT(DISTINCT \"Company Name\"), COUNT(DISTINCT Location), COUNT(DISTINCT Sector), COUNT(DISTINCT Stage), COUNT(DISTINCT Investor) FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'April', COUNT(*), COUNT(DISTINCT \"Company Name\"), COUNT(DISTINCT Location), COUNT(DISTINCT Sector), COUNT(DISTINCT Stage), COUNT(DISTINCT Investor) FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', COUNT(*), COUNT(DISTINCT \"Company Name\"), COUNT(DISTINCT Location), COUNT(DISTINCT Sector), COUNT(DISTINCT Stage), COUNT(DISTINCT Investor) FROM raw.\"Indian Startups _ Funding Investors Data May 2022\"", "purpose": "Exact distinct counts of categorical columns per monthly table", "source": "raw"}</parameter> </invoke>