Invocable APIs derived from NL2SQL datasets for LLM Tool-Calling EvaluationBenjamin Elder, Anupama Murthi, Jungkoo Kang, Ankita Rajaram Naik, Kiran Kate, Kinjal Basu, Danish Contractorhttps://arxiv.org/abs/2506.11266
Invocable APIs derived from NL2SQL datasets for LLM Tool-Calling EvaluationLarge language models (LLMs) are routinely deployed as agentic systems, with access to tools that interact with live environments to accomplish tasks. In enterprise deployments these systems need to interact with API collections that can be extremely large and complex, often backed by databases. In order to create datasets with such characteristics, we explore how existing NL2SQL (Natural Language to SQL query) datasets can be used to automatically create NL2API datasets. Specifically, this wor…