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“Track spend, hallucinated APIs and model changes” addresses the github copilot model selection situation—tool options vary in token limits, privacy policy and quality. The observed failure is: Client config points to an outdated URL and unsupported auth. Monitor connection errors and token expiry. A valid MCP client requires the actual approved endpoint, transport and authentication flow. An outdated URL or unsupported credential method prevents safe connection.

“Monitor migration impact and drift” concerns DDL change could destroy legacy data or break dependencies; the reported problem instead is Client config points to an outdated URL and unsupported auth. Monitor connection errors and token expiry. A valid MCP client requires the actual approved endpoint, transport and authentication flow. An outdated URL or unsupported credential method prevents safe connection.

“Monitor instruction drift and ignored conventions” concerns Assistant creates inconsistent column and object names; the reported problem instead is Client config points to an outdated URL and unsupported auth. Monitor connection errors and token expiry. A valid MCP client requires the actual approved endpoint, transport and authentication flow. An outdated URL or unsupported credential method prevents safe connection.

“Inspect workspace role and Copilot feature availability” concerns Prompt context must not broaden Fabric workspace access; the reported problem instead is DDL change could destroy legacy data or break dependencies. Inspect generated DDL and dependent objects before merging. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Review join keys, row estimates and generated SQL before execution” concerns Generated SQL may produce accidental many-to-many amplification; the reported problem instead is DDL change could destroy legacy data or break dependencies. Inspect generated DDL and dependent objects before merging. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Inspect AI tool data-handling policy and secrets in prompt history” concerns Unreviewed prompts could expose credentials; the reported problem instead is DDL change could destroy legacy data or break dependencies. Inspect generated DDL and dependent objects before merging. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Require human code review and test-driven validation of AI output” concerns Generated SQL may produce accidental many-to-many amplification; the reported problem instead is DDL change could destroy legacy data or break dependencies. Require reviewed reversible migration plus backup and approvals. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Add reviewed project instructions that describe conventions without secrets” concerns Assistant creates inconsistent column and object names; the reported problem instead is DDL change could destroy legacy data or break dependencies. Require reviewed reversible migration plus backup and approvals. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Choose approved model appropriate to migration context and prompt limits” concerns Tool options vary in token limits, privacy policy and quality; the reported problem instead is DDL change could destroy legacy data or break dependencies. Require reviewed reversible migration plus backup and approvals. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Request sample code from tool against a disposable repository branch” concerns Assistant creates inconsistent column and object names; the reported problem instead is DDL change could destroy legacy data or break dependencies. Execute proposed migration against a disposable database snapshot. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Run a synthetic prompt containing a fake credential under policy review” concerns Unreviewed prompts could expose credentials; the reported problem instead is DDL change could destroy legacy data or break dependencies. Execute proposed migration against a disposable database snapshot. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Request schema list using an isolated low-privileged identity” concerns Broad access would expose unrelated workspace files; the reported problem instead is DDL change could destroy legacy data or break dependencies. Execute proposed migration against a disposable database snapshot. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“The chosen model yields auditable output without exposing sensitive schema” addresses the github copilot model selection situation—tool options vary in token limits, privacy policy and quality. The observed failure is: DDL change could destroy legacy data or break dependencies. Schema change preserves required data and rollback succeeds. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Assistant does not execute unauthorized data exports” concerns AI assistant may treat database metadata as instructions; the reported problem instead is DDL change could destroy legacy data or break dependencies. Schema change preserves required data and rollback succeeds. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Approved schema discovery works and unauthorized functions fail” concerns Client config points to an outdated URL and unsupported auth; the reported problem instead is DDL change could destroy legacy data or break dependencies. Schema change preserves required data and rollback succeeds. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Monitor audit events and permission drift” concerns Prompt context must not broaden Fabric workspace access; the reported problem instead is DDL change could destroy legacy data or break dependencies. Monitor migration impact and drift. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Monitor instruction drift and ignored conventions” concerns Assistant creates inconsistent column and object names; the reported problem instead is DDL change could destroy legacy data or break dependencies. Monitor migration impact and drift. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Monitor prompt leakage warnings and policy violations” concerns Unreviewed prompts could expose credentials; the reported problem instead is DDL change could destroy legacy data or break dependencies. Monitor migration impact and drift. Generated DDL can drop data or break dependencies. Review the migration delta, existing data shape and rollback script before deployment.

“Inspect lakehouse endpoint scopes and tool configuration” concerns Broad access would expose unrelated workspace files; the reported problem instead is AI assistant may treat database metadata as instructions. Inspect provenance of retrieved comments and tool-call logs. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Inspect repository guidance and Copilot instruction file scope” concerns Assistant creates inconsistent column and object names; the reported problem instead is AI assistant may treat database metadata as instructions. Inspect provenance of retrieved comments and tool-call logs. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Inspect AI tool data-handling policy and secrets in prompt history” concerns Unreviewed prompts could expose credentials; the reported problem instead is AI assistant may treat database metadata as instructions. Inspect provenance of retrieved comments and tool-call logs. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Use least-privileged MCP permissions and explicit allowlisted capabilities” concerns A broad server permission grants unnecessary write access; the reported problem instead is AI assistant may treat database metadata as instructions. Treat schema content as untrusted data and restrict agent tool permissions. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Add reviewed project instructions that describe conventions without secrets” concerns Assistant creates inconsistent column and object names; the reported problem instead is AI assistant may treat database metadata as instructions. Treat schema content as untrusted data and restrict agent tool permissions. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Configure an approved metadata-only MCP tool with least privilege” concerns Broad access would expose unrelated workspace files; the reported problem instead is AI assistant may treat database metadata as instructions. Treat schema content as untrusted data and restrict agent tool permissions. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Connect through isolated test tenant using minimal permissions” concerns Client config points to an outdated URL and unsupported auth; the reported problem instead is AI assistant may treat database metadata as instructions. Inject benign adversarial text into a test comment. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“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 AI assistant may treat database metadata as instructions. Inject benign adversarial text into a test comment. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Request sample code from tool against a disposable repository branch” concerns Assistant creates inconsistent column and object names; the reported problem instead is AI assistant may treat database metadata as instructions. Inject benign adversarial text into a test comment. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Approved schema discovery works and unauthorized functions fail” concerns Client config points to an outdated URL and unsupported auth; the reported problem instead is AI assistant may treat database metadata as instructions. Assistant does not execute unauthorized data exports. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Assistant accesses only authorized objects” concerns Prompt context must not broaden Fabric workspace access; the reported problem instead is AI assistant may treat database metadata as instructions. Assistant does not execute unauthorized data exports. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Assistant workflow avoids real secret disclosure” concerns Unreviewed prompts could expose credentials; the reported problem instead is AI assistant may treat database metadata as instructions. Assistant does not execute unauthorized data exports. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Monitor prompt leakage warnings and policy violations” concerns Unreviewed prompts could expose credentials; the reported problem instead is AI assistant may treat database metadata as instructions. Monitor suspicious tool requests and boundary violations. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Monitor MCP tool invocation and unusual privileges” concerns A broad server permission grants unnecessary write access; the reported problem instead is AI assistant may treat database metadata as instructions. Monitor suspicious tool requests and boundary violations. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.

“Monitor anomalous query plans and regressions” concerns Generated SQL may produce accidental many-to-many amplification; the reported problem instead is AI assistant may treat database metadata as instructions. Monitor suspicious tool requests and boundary violations. Untrusted database comments should remain data, not new instructions to the assistant. Log the tool call and enforce permission limits outside the model.