Food systems are dominated by multiple risks inflicted by their surrounding environments that pose pressures on the continuous and efficient supply of food products. Market dynamics represented by competitive and cooperative behaviors of the system's main players is one of the uncertainties that influence the availability and affordability of food products. Efficient modeling of these risks can assist decision-makers in simulating and predicting future actions that mitigate the impact that market dynamics have on the provision of food products. This paper suggests an Agent-based model-based framework that simulates the behavior and tracks the economic and environmental performances of the tomato supply system in the State of Qatar. It considers three different scenarios representing the current situation of the market in addition to a competitive and a cooperative trade network. Interactions between trade partners are modeled using two game theoretic approaches counting Cournot competition and Cartel collusion. Based on the research findings, a competitive global market can bring economic benefits to Qatar as an importing nation, but this approach also entails substantial water consumption and results in significant environmental emissions. Conversely, collaboration among exporting countries demonstrates a potential 20% reduction in water usage and a 15% decrease in environmental emissions compared to the competitive scenario, offering enhanced environmental performance albeit at higher economic costs. This study provides a prescriptive analysis that enables policymakers to quantify the trade-offs between economic efficiency and environmental sustainability. These insights are crucial for guiding strategic planning for food supply security and environmental conservation. By understanding the implications of market structure changes, policymakers can navigate potential challenges more effectively and develop targeted policy interventions that enhance the resilience of the food supply system against market volatility and environmental impacts. This analysis supports proactive policy-shaping that aligns with their desired outcomes, ensuring a balanced approach to managing economic benefits and environmental considerations.