The ISEE system uses a scoring mechanism to identify ambiguous database field descriptions. It gathers missing domain knowledge through interactive loops to bridge the gap between raw data and user intent. This process improves entity-linking performance for LLM-based agents. Practitioners can now refine undocumented data semantics to increase retrieval accuracy in specialized domains.