<invoke name="tool_call"> <parameter name="reasoning">No evidence is visible in this turn, so I will re-ground the Amount quality claims with one pattern-profile query across all five monthly tables.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql": "WITH u AS (SELECT 'Jan' AS month, \"Amount\" AS a, \"Company Name\" AS c FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Amount\", \"Company Name\" FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Amount\", \"Company Name\" FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Amount\", \"Company Name\" FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', \"Amount\", \"Company Name\" FROM raw.\"Indian Startups _ Funding Investors Data May 2022\") SELECT month, COUNT(*) AS total_rows, SUM(CASE WHEN a IS NULL THEN 1 ELSE 0 END) AS null_amount, SUM(CASE WHEN trim(a) = '' THEN 1 ELSE 0 END) AS empty_amount, SUM(CASE WHEN lower(a) LIKE '%undisclosed%' THEN 1 ELSE 0 END) AS undisclosed, SUM(CASE WHEN regexp_matches(a, '^\\$[0-9]{1,3}(,[0-9]{3})+$') THEN 1 ELSE 0 END) AS standard_format, SUM(CASE WHEN a IS NOT NULL AND trim(a) <> '' AND lower(a) NOT LIKE '%undisclosed%' AND NOT regexp_matches(a, '^\\$[0-9]{1,3}(,[0-9]{3})+$') THEN 1 ELSE 0 END) AS other_nonstandard, SUM(CASE WHEN regexp_matches(a, '^\\$[0-9]{1,3}(,[0-9]{3}){3,}$') AND length(a) >= 15 THEN 1 ELSE 0 END) AS billion_scale FROM u GROUP BY month ORDER BY month", "purpose": "Profile Amount formats per monthly table", "source": "raw"}</parameter> </invoke>