<antml:parameter name="action">tool_call</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql":"SELECT 'January' AS tbl, COUNT(*) AS n, COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')) AS company_name, COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')) AS founded, COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')) AS location, COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')) AS sector, COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')) AS what_it_does, COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')) AS founders, COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')) AS investor, COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')) AS amount, COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) AS stage FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'February', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'March', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'April', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data May 2022\"","purpose":"Count null or blank values per business column in each monthly table directly from raw data","source":"raw"}</parameter> </invoke> Oops — wrong shape. Let me reply correctly. <antml:parameter name="action">tool_call</parameter> <parameter name="reasoning">The earlier metadata query returned nothing, which may just reflect how it was filtered. Verify directly on raw data, counting NULLs and blank strings per column in each table.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql":"SELECT 'January' AS tbl, COUNT(*) AS n, COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')) AS company_name, COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')) AS founded, COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')) AS location, COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')) AS sector, COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')) AS what_it_does, COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')) AS founders, COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')) AS investor, COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')) AS amount, COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) AS stage FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'February', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'March', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'April', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', COUNT(*), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Company Name\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(CAST(\"Founded\" AS VARCHAR)),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Location\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Sector\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"What it does\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Founders\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Investor\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Amount\"),'')), COUNT(*)-COUNT(NULLIF(TRIM(\"Stage\"),'')) FROM raw.\"Indian Startups _ Funding Investors Data May 2022\"","purpose":"Count null or blank values per business column in each monthly table directly from raw data","source":"raw"}</parameter> </invoke>