Function allocation designates which agents - humans and automated - will perform which activities during aviation operations. Such function allocations are not absolute - instead, some agents are typically left with responsibility to monitor the outcomes of others activities. This paper describes how such monitoring can be predicted during analysis and design of function allocations. This method applies computational simulation of the collective set of activities, such that a large number of variants and conditions can be analyzed and compared. Such simulations can collect measures of the activities that will be required of each of the agents, each agent's information requirements overall, and conditions where information must be transferred somehow between the agents. Further, monitoring requirements can be automatically detected during run-time and included in the analysis. A case study demonstrates this method in the context of air-ground function allocation in arrival operations.