{
    "action": "tool_call",
    "reasoning": "The inspect_columns result shows null_count=0 for all 10 columns in the Iris table. This means there are no missing values in any column. I should verify this with a SQL query to compute the exact missing percentages, which will confirm the zero nulls and provide the percentage calculation the question asks for.",
    "tool": "query_sql",
    "sql": "SELECT COUNT(*) as total_rows, COUNT(Id) as Id_non_null, COUNT(SepalLengthCm) as SepalLengthCm_non_null, COUNT(SepalWidthCm) as SepalWidthCm_non_null, COUNT(PetalLengthCm) as PetalLengthCm_non_null, COUNT(PetalWidthCm) as PetalWidthCm_non_null, COUNT(Species) as Species_non_null, COUNT(_ingestion_timestamp) as ingestion_timestamp_non_null, COUNT(_batch_id) as batch_id_non_null, COUNT(_source_file) as source_file_non_null, COUNT(_source_system) as source_system_non_null, ROUND(100.0 * (COUNT(*) - COUNT(Id)) / COUNT(*), 2) as Id_missing_pct, ROUND(100.0 * (COUNT(*) - COUNT(SepalLengthCm)) / COUNT(*), 2) as SepalLengthCm_missing_pct, ROUND(100.0 * (COUNT(*) - COUNT(SepalWidthCm)) / COUNT(*), 2) as SepalWidthCm_missing_pct, ROUND(100.0 * (COUNT(*) - COUNT(PetalLengthCm)) / COUNT(*), 2) as PetalLengthCm_missing_pct, ROUND(100.0 * (COUNT(*) - COUNT(PetalWidthCm)) / COUNT(*), 2) as PetalWidthCm_missing_pct, ROUND(100.0 * (COUNT(*) - COUNT(Species)) / COUNT(*), 2) as Species_missing_pct FROM raw.Iris",
    "purpose": "Calculate the exact count of non-null values and missing percentage for each column in the Iris table"
}