SELECT 
  cscart_product_descriptions.product_id, 
  cscart_product_descriptions.short_description, 
  IF(
    cscart_product_descriptions.short_description = '' 
    OR cscart_product_descriptions.short_description IS NULL, 
    cscart_product_descriptions.full_description, 
    ''
  ) AS full_description 
FROM 
  cscart_product_descriptions 
WHERE 
  cscart_product_descriptions.product_id IN (
    99571, 99572, 99580, 99582, 99584, 99586, 
    100067, 100069, 100072, 100152, 100153, 
    100156, 100169, 100171, 100173, 100176, 
    100178, 100180, 100321, 100323, 100326, 
    100605, 100606, 100610, 100884, 100887, 
    100900, 100903, 100907, 100910
  ) 
  AND cscart_product_descriptions.lang_code = 'en'

Query time 0.00077

JSON explain

{
  "query_block": {
    "select_id": 1,
    "cost_info": {
      "query_cost": "13.52"
    },
    "table": {
      "table_name": "cscart_product_descriptions",
      "access_type": "range",
      "possible_keys": [
        "PRIMARY",
        "product_id"
      ],
      "key": "PRIMARY",
      "used_key_parts": [
        "product_id",
        "lang_code"
      ],
      "key_length": "9",
      "rows_examined_per_scan": 30,
      "rows_produced_per_join": 30,
      "filtered": "100.00",
      "cost_info": {
        "read_cost": "10.52",
        "eval_cost": "3.00",
        "prefix_cost": "13.52",
        "data_read_per_join": "114K"
      },
      "used_columns": [
        "product_id",
        "lang_code",
        "short_description",
        "full_description"
      ],
      "attached_condition": "((`nuie_scalesta_net`.`cscart_product_descriptions`.`product_id` in (99571,99572,99580,99582,99584,99586,100067,100069,100072,100152,100153,100156,100169,100171,100173,100176,100178,100180,100321,100323,100326,100605,100606,100610,100884,100887,100900,100903,100907,100910)) and (`nuie_scalesta_net`.`cscart_product_descriptions`.`lang_code` = 'en'))"
    }
  }
}

Result

product_id short_description full_description
99571
99572
99580
99582
99584
99586
100067
100069
100072
100152
100153
100156
100169
100171
100173
100176
100178
100180
100321
100323
100326
100605
100606
100610
100884
100887
100900
100903
100907
100910