Agent Application DevelopmentAccount
Knowledge catalogChoose core direction and segmented content
Practice 23AdvancedImplementationAbout 18 minutes

Corresponding knowledge: Definitions, granularity, and execution boundaries in natural-language queries

When searching a database using natural language, how to prevent the SQL from being checked in the wrong definition or exceeding authority even if it is legal?

Examine the semantic layer, controlled SQL, read-only execution, and result review.

Text-to-SQLTreasurerPermissions

Knowledge content check2026-10-03 · Check the source of the original question2026-10-02

Knowledge unit directory

LEARN · PRACTICE · REFLECT

Knowledge exercises·Independent answers

My notes and review ↗

Principles and Solutions have been collapsed. Explain the core mechanism, boundaries and verification methods in your own words, and then compare them.

Answers and personal notes

Each modified commit will be kept as an independent history. Your level of mastery is up to you to evaluate yourself against the standards.

Explain in your own words first

The core principles, analysis, Q&A and migration cases have been closed. When you are ready, unfold it and compare it with the content to find any omissions.

Hands-on verificationComplete on demand · Suggestions15 minutes

Design the "Today's Bank Expenditure" query contract and give a counterexample where JOIN leads to repeated accumulation.

Expand acceptance requirements and checkpoints
  • Explicit business definition
  • Permissions are determined by trusted identities
  • Amount certainty review

Key inspections

  • Mapping natural language to indicator definition
  • Understand the limitations of read-only and AST validation
  • Can find repeated accumulation of permissions and JOIN