Parent State ID: 294
State Depth: 31
Action Taken: leave(left_hand, shot2)
Action Reasoning: To proceed towards the second cocktail, I need to prepare shot2. The left hand is holding shot2, so I will set it down on the table to free up the left hand for the following steps.
State Description: - Shot1: contains cocktail1, used, not clean, on the table.- Shot2: clean, empty, on the table.- Shot3: clean, empty, on the table.- Shaker1: on the table, empty, used, unshaken, at fill level l1.- Dispenser1: contains ingredient1.- Dispenser2: contains ingredient2.- Left hand: empty.- Right hand: empty.
Action Path: ['grasp(left_hand, shot1)', 'fill-shot(shot1, ingredient1, left_hand, right_hand, dispenser1)', 'grasp(right_hand, shot2)', 'leave(left_hand, shot1)', 'fill-shot(shot2, ingredient2, right_hand, left_hand, dispenser2)', 'pour-shot-to-clean-shaker(shot2, ingredient2, shaker1, right_hand, l0, l1)', 'grasp(left_hand, shot1)', 'pour-shot-to-used-shaker(shot1, ingredient1, shaker1, left_hand, l1, l2)', 'leave(left_hand, shot1)', 'grasp(left_hand, shaker1)', 'shake(cocktail1, ingredient1, ingredient2, shaker1, left_hand, right_hand)', 'grasp(right_hand, shot1)', 'leave(left_hand, shaker1)', 'grasp(left_hand, shaker1)', 'leave(right_hand, shot1)', 'grasp(right_hand, shot1)', 'leave(left_hand, shaker1)', 'clean-shot(shot1, cocktail1, right_hand, left_hand)', 'grasp(left_hand, shaker1)', 'pour-shaker-to-shot(cocktail1, shot1, left_hand, shaker1, l2, l1)', 'grasp(right_hand, shot2)', 'leave(right_hand, shot2)', 'leave(left_hand, shaker1)', 'grasp(left_hand, shot2)', 'clean-shot(shot2, cocktail1, left_hand, right_hand)', 'grasp(left_hand, shot2)', 'leave(left_hand, shot2)', 'grasp(right_hand, shot2)', 'leave(right_hand, shot2)', 'grasp(left_hand, shot2)', 'leave(left_hand, shot2)']

INACTIVE REASON: action path invalid: The last action `leave(left_hand, shot2)` is valid in terms of preconditions and effects, but it does not help achieve the goal state, as shot2 remains empty instead of containing cocktail2. The current state's natural language description and visualization are accurate, but the action does not progress towards the goal.
