In educational settings such as art galleries or museums, Augmented Reality (AR) has the potential to provide detailed information about exhibits. However, dealing with items that contain information in multiple sections or areas is still a significant challenge. For example, a large painting may contain many minute details, which requires a system that can explain its broader features rather than just a generic description. To address this challenge, we introduce an AR guidance system that uses an embodied agent to point out items and explain each piece and part of exhibit items in detail. We also designed and tested 3 different pointing interfaces for the embodied agent: gesture only, gesture with a dot laser, and gesture with line laser. To evaluate this interface, we conducted a user experiment simulating painting guidance to test interest and exhibit memory. During the experiment, the agent pointed to various areas of interest in the painting and provided a detailed description to participants. The result shows that the search times for target positions were the fastest with the line laser. However, no particular interface outperformed others in memory recall of exhibit content.