Text-to-SQL is better when the question is novel and exploration matters. Reviewed MCP tools are better when the question recurs and the query should behave like a maintained interface. Many teams need both, separated by workflow and risk.
| Criterion | Reviewed MCP tools | Text-to-SQL |
|---|---|---|
| Best question type | Known, recurring workflow | Novel, exploratory analysis |
| Query ownership | A person reviews and maintains the query | The model composes a query at request time |
| Agent input | A small set of typed parameters | Natural language plus available schema context |
| Change management | Version the tool contract and query together | Improve prompts, models, metadata, and guardrails |
| Main limitation | Cannot answer questions no tool was designed for | Correctness and cost vary with each generated query |
Use reviewed tools for production routines
A renewal-risk check, campaign summary, or inventory lookup has a stable definition. Keeping its query in a reviewed tool makes that definition inspectable and gives clients a small, predictable input surface.
Use text-to-SQL for discovery
An analyst investigating an unfamiliar drop needs freedom to ask follow-up questions and form new joins. A fixed tool catalog will feel restrictive there. Put exploration in an environment with the appropriate schema context, review process, and database controls.
Run both without blurring the boundary
A useful pattern is to discover and validate a query in the analytical workflow, then promote stable questions into reviewed MCP tools. The exploratory system stays flexible; the operational interface becomes deliberate.