Laparoscopic surgery, a prevalent form of minimally invasive surgery (MIS), has found widespread application in clinical practice. However, the conventional approach to laparoscopic surgery necessitates assistant surgeons to manually manipulate the camera. In order to improve efficiency, numerous laparoscopic robots have been developed. Yet, these laparoscopic robots are constrained by the Remote Center of Motion (RCM), which limits their degrees of freedom (DoF) and complicates control and modeling during field of view (FOV) adjustments. This paper proposes a novel tendon-driven continuum laparoscope that circumvents the RCM constraint. Additionally, a visualization simulation platform based on Webots is established to design an automatic FOV adjustment tracking algorithms suitable for this laparoscope. The automatic tracking algorithm considers the position, size, and eye-hand coordination of the target instrument. Simulation results indicate that after stable tracking of the target, the average tracking error is less than 10 pixels, and the size of the object recognized by the camera is within the set range, consistent with hand-eye coordination. Therefore, the visualization simulation platform proposed in this paper will contribute to optimizing automatic laparoscopic FOV adjustment tracking algorithms.