Reframes city-scale 3D visual grounding as active spatial search: a VLM agent interacts with a multi-view BEV environment to query landmarks, zoom, render oblique views, and commit world-aligned bounding boxes. Trains a tool-use policy with reinforcement learning on CityRefer, improving Hit@1, IoU, and inference speed over ranking baselines.