The SQL Agent Eval Blind Spot: Queries That Succeed but Return Wrong Data
JuniorLeg6988 · reddit · 2026-08-13
A developer highlights an underserved failure mode in evaluating AI agents that write SQL against live databases: queries execute successfully and return plausible rows, but the data is actually wrong due to incorrect joins or filters.
Static evaluation sets fail to handle constantly changing data, and major platforms like LangSmith and Braintrust lack out-of-the-box live-data verification. The author is considering building a dedicated eval tool that independently queries the database to verify agent outputs and is surveying the community for current solutions and willingness to pay.
Related event: SQL Agent Evaluation Pitfalls: Successful Queries with Wrong Data(2 posts)→
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