How can a simulated environment expose follow-up actions?

For retail operations, a simulated environment could expose delayed stock-count tasks through a typed case schema. Core fields can include `case_id`, `store_id`, `obligation_id`, `assigned_role`, `due_at`, `status` and `policy_id`. A separate action table can record `action_id`, `case_id`, `action_type` and `resulting_state`.

Tools might include `get_case`, `list_missing_counts`, `assign_followup`, `request_supervisor_review` and `record_completion`. Each tool should define required arguments, allowed starting states and returned errors. Calling `record_completion` without the required count evidence should fail visibly.

The environment can return a structured transition receipt after a successful action. That receipt gives the model confirmation that the business state changed, rather than merely accepting a natural-language claim that the task is finished.

A reset operation can restore the initial store queue and remove actions from the previous run. Evaluation hooks can inspect the transition log and final state. This supports tasks where the model must actually advance an overdue operational obligation, with success grounded in executed actions rather than persuasive narration.