{
    "action": "tool_call",
    "reasoning": "The evidence from my earlier queries isn't available in this turn, so I'll re-run one compact city-level query. It merges spelling variants and gives the numbers that back the geographic answer.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH c AS (SELECT CASE WHEN lower(trim(replace(\"City  Location\", chr(160), ' '))) IN ('bangalore','bengaluru') THEN 'Bengaluru' WHEN lower(trim(replace(\"City  Location\", chr(160), ' '))) IN ('gurgaon','gurugram') THEN 'Gurugram' WHEN lower(trim(replace(\"City  Location\", chr(160), ' '))) IN ('delhi','new delhi') THEN 'Delhi / New Delhi' WHEN \"City  Location\" IS NULL OR lower(trim(replace(\"City  Location\", chr(160), ' '))) IN ('nan','','n/a') THEN 'Missing' ELSE trim(replace(\"City  Location\", chr(160), ' ')) END AS city FROM raw.startup_funding) SELECT city, COUNT(*) AS deals, ROUND(100.0*COUNT(*)/SUM(COUNT(*)) OVER (),1) AS pct_of_deals FROM c GROUP BY city ORDER BY deals DESC LIMIT 20",
        "purpose": "City-level deal counts with spelling variants merged, to show geographic concentration",
        "source": "raw"
    }
}