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“Monitor cross-workspace access attempts” concerns Broad access would expose unrelated workspace files; the reported problem instead is Unreviewed prompts could expose credentials. Monitor prompt leakage warnings and policy violations. Prompts and repository instructions can accidentally expose credentials. Remove secrets from context and rely on approved managed secret stores.

“Monitor suspicious tool requests and boundary violations” concerns AI assistant may treat database metadata as instructions; the reported problem instead is Unreviewed prompts could expose credentials. Monitor prompt leakage warnings and policy violations. Prompts and repository instructions can accidentally expose credentials. Remove secrets from context and rely on approved managed secret stores.

“Monitor migration impact and drift” concerns DDL change could destroy legacy data or break dependencies; the reported problem instead is Unreviewed prompts could expose credentials. Monitor prompt leakage warnings and policy violations. Prompts and repository instructions can accidentally expose credentials. Remove secrets from context and rely on approved managed secret stores.

“Inspect provenance of retrieved comments and tool-call logs” concerns AI assistant may treat database metadata as instructions; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Review join keys, row estimates and generated SQL before execution. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Inspect generated DDL and dependent objects before merging” concerns DDL change could destroy legacy data or break dependencies; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Review join keys, row estimates and generated SQL before execution. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Review approved model inventory and repository code disclosure policy” concerns Tool options vary in token limits, privacy policy and quality; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Review join keys, row estimates and generated SQL before execution. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Treat schema content as untrusted data and restrict agent tool permissions” concerns AI assistant may treat database metadata as instructions; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Require human code review and test-driven validation of AI output. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Require reviewed reversible migration plus backup and approvals” concerns DDL change could destroy legacy data or break dependencies; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Require human code review and test-driven validation of AI output. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Configure an approved metadata-only MCP tool with least privilege” concerns Broad access would expose unrelated workspace files; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Require human code review and test-driven validation of AI output. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Compare candidate-generated SQL on a fake project with tests” concerns Tool options vary in token limits, privacy policy and quality; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Run generated query against bounded synthetic relational fixtures. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Inject benign adversarial text into a test comment” concerns AI assistant may treat database metadata as instructions; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Run generated query against bounded synthetic relational fixtures. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Run a synthetic prompt containing a fake credential under policy review” concerns Unreviewed prompts could expose credentials; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Run generated query against bounded synthetic relational fixtures. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Only intended lakehouse metadata is returned” concerns Broad access would expose unrelated workspace files; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Row counts and billing totals match reference results. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Assistant does not execute unauthorized data exports” concerns AI assistant may treat database metadata as instructions; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Row counts and billing totals match reference results. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Schema change preserves required data and rollback succeeds” concerns DDL change could destroy legacy data or break dependencies; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Row counts and billing totals match reference results. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Monitor suspicious tool requests and boundary violations” concerns AI assistant may treat database metadata as instructions; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Monitor anomalous query plans and regressions. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Monitor migration impact and drift” concerns DDL change could destroy legacy data or break dependencies; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Monitor anomalous query plans and regressions. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Monitor audit events and permission drift” concerns Prompt context must not broaden Fabric workspace access; the reported problem instead is Generated SQL may produce accidental many-to-many amplification. Monitor anomalous query plans and regressions. A generated join can multiply rows when keys are not unique on both sides. Review relationship cardinality and actual row counts before running or publishing it.

“Review approved model inventory and repository code disclosure policy” concerns Tool options vary in token limits, privacy policy and quality; the reported problem instead is Assistant creates inconsistent column and object names. Inspect repository guidance and Copilot instruction file scope. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Inspect workspace role and Copilot feature availability” concerns Prompt context must not broaden Fabric workspace access; the reported problem instead is Assistant creates inconsistent column and object names. Inspect repository guidance and Copilot instruction file scope. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Inspect provenance of retrieved comments and tool-call logs” concerns AI assistant may treat database metadata as instructions; the reported problem instead is Assistant creates inconsistent column and object names. Inspect repository guidance and Copilot instruction file scope. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Require reviewed reversible migration plus backup and approvals” concerns DDL change could destroy legacy data or break dependencies; the reported problem instead is Assistant creates inconsistent column and object names. Add reviewed project instructions that describe conventions without secrets. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Treat schema content as untrusted data and restrict agent tool permissions” concerns AI assistant may treat database metadata as instructions; the reported problem instead is Assistant creates inconsistent column and object names. Add reviewed project instructions that describe conventions without secrets. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Remove secrets and use sanctioned secret stores and prompt boundaries” concerns Unreviewed prompts could expose credentials; the reported problem instead is Assistant creates inconsistent column and object names. Add reviewed project instructions that describe conventions without secrets. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Execute proposed migration against a disposable database snapshot” concerns DDL change could destroy legacy data or break dependencies; the reported problem instead is Assistant creates inconsistent column and object names. Request sample code from tool against a disposable repository branch. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Test with read-only sample data under allowed and denied roles” concerns Prompt context must not broaden Fabric workspace access; the reported problem instead is Assistant creates inconsistent column and object names. Request sample code from tool against a disposable repository branch. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Request schema list using an isolated low-privileged identity” concerns Broad access would expose unrelated workspace files; the reported problem instead is Assistant creates inconsistent column and object names. Request sample code from tool against a disposable repository branch. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Chosen model yields auditable output without exposing sensitive schema” concerns Tool options vary in token limits, privacy policy and quality; the reported problem instead is Assistant creates inconsistent column and object names. Suggestions follow documented naming rules and pass lint/tests. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Assistant does not execute unauthorized data exports” concerns AI assistant may treat database metadata as instructions; the reported problem instead is Assistant creates inconsistent column and object names. Suggestions follow documented naming rules and pass lint/tests. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Approved schema discovery works and unauthorized functions fail” concerns Client config points to an outdated URL and unsupported auth; the reported problem instead is Assistant creates inconsistent column and object names. Suggestions follow documented naming rules and pass lint/tests. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Monitor migration impact and drift” concerns DDL change could destroy legacy data or break dependencies; the reported problem instead is Assistant creates inconsistent column and object names. Monitor instruction drift and ignored conventions. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Monitor connection errors and token expiry” concerns Client config points to an outdated URL and unsupported auth; the reported problem instead is Assistant creates inconsistent column and object names. Monitor instruction drift and ignored conventions. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.

“Monitor audit events and permission drift” concerns Prompt context must not broaden Fabric workspace access; the reported problem instead is Assistant creates inconsistent column and object names. Monitor instruction drift and ignored conventions. Repository-specific guidance can constrain naming conventions and schemas for generated SQL, but the instructions must be version-controlled and scoped to the project.