In many location based applications there is no real need for accuracy, but rather for reliability. For example, the fact to know someone is in a specific room, corridor or office is often sufficient. This is the basis of the symbolic approach that gives a positioning in terms of rooms (or group of rooms). Developed algorithms have then a clear target: to provide high reliability in a typical 3D environment, together with real time indicators of both accuracy and reliability. The WLAN symbolic system has also been designed in order to provide a positioning without any calibration phase and that still works even in "real telecommunication environments", i.e. with a reduced set of Access Points (it still works with only one Access Point, although the accuracy of the positioning is then really poor). In addition, the symbolic approach is scalable and easy to adapt to particular needs such as an increased accuracy in specific areas or positioning in a complex 3D building. We developed a tool that allows a user to evaluate the positioning performance of its WiFi network, using the symbolic method. Default values of the various parameters allow a straight forward approach, although a reduced set of initial measurements (a "not more than five minutes" calibration) is bound to provide a better positioning estimation. This tool is also useful in improving the WLAN network deployment for positioning purposes in helping to find the best locations of the Access Points. In addition, it helps in defining the location of a new added Access Point that will improve the positioning. The tool is fully presented and described in the paper and allows the deployment and evaluation of the symbolic positioning in all environments by any user