In this paper we propose a simple model of trust for the agents in a distributed environment. In the absence of sufficient information about the source and the data produced by it, we argue that the uncertainty in the data is proportional to the trustworthiness of the source. We model an agent consisting of a Π-ATMS. The agent assigns uncertainty values to the hypotheses and justifications about the world and inputs it to the Π-ATMS to obtain a list of conclusions with varying levels of uncertainty that help it to make a decision. We show how this approach can solve the problem applied to a crowd sourced garbage collection use case.