Extended Reality (XR) is quickly expanding "as the next major technology wave in personal computing".Nevertheless, this expansion and adoption could also exclude certain disabled users, particularly people with visual impairment (VIP).According to the World Health Organization (WHO) in their 2019 publication, there were at least 2.2 billion people with visual impairment, a number that is also estimated to have increased in recent years.Therefore, it is important to include disabled users, especially visually impaired people, in the design of Head-Mounted Displays and Extended Reality environments.Indeed, this objective can be pursued by incorporating Multimodal Large Language Model (MLLM) technology, which can assist visually impaired people.As a case study, this study employs different prompts that result in environment descriptions from an MLLM integrated into a virtual reality (VR) escape room.Therefore, six potential prompts were engineered to generate valuable outputs for visually impaired users inside a VR environment.These outputs were evaluated using the G-Eval, and VIEScore metrics.Even though, the results show that the prompt patterns provided a description that aligns with the user's point of view, it is highly recommended to evaluate these outputs through "expected outputs" from Orientation and Mobility Specialists, and Sighted Guides.Furthermore, the subsequent step in the process is to evaluate these outputs by visually impaired people themselves to identify the most effective prompt pattern.