Fine-tuning won’t help; you’ll just increase likelihoods, but I expect no constraints to be enforced. The AI will be an expert on inferring other responses similar to those shown in examples of employing context-less items.
If the user data input is on the smaller side and isn’t burdening the possibility of multiple calls, you could conceive how a lookup function might better work.
For example, give the AI a task: find a trademark class from 80 different categories, each with an extensive list of codes. You’d want the AI to be able to browse those categories, enter the most likely, and find what it is looking for, thus avoiding the entirety of mind-boggling documentation.