The ISEE system uses a scoring mechanism to identify ambiguous database field descriptions. It gathers missing domain knowledge through interactive prompts to bridge the gap between raw data and LLM understanding. This process improves downstream performance for entity-linking tasks. Researchers target the specific problem of undocumented, customized fields that typically hinder LLM-based agents.