tool-policy

Enforce safety boundaries by configuring allowed-tool sets and execution policies within the AI agent harness. This structured framework defines capability boundaries, preventing unauthorized system access and controlling operational authority for deterministic tool-use.

Deterministic capability control is the explicit definition of permitted tools and invocation policies per route. It satisfies requirements for regression testing of tool-call logic and ensures secure implementation handoffs by preventing unauthorized access to sensitive systems.

Prevent destructive database queries by defining a restricted tool-call policy that blocks unauthorized access. This allows you to establish safety guardrails that enable read-only operations while preventing the agent from executing destructive actions in production environments.

Yes, you can restrict AI agent access by establishing clear safety guardrails. The tool-policy framework configures execution policies that prevent unauthorized access to sensitive systems, production environments, and external APIs while allowing permitted operations.

Audit tool-call logic by applying execution policies that support regression testing of tool invocation routes. This framework allows you to verify capability boundaries and operational authority deterministically before completing secure implementation handoffs.

Configure allowed-tool sets when developing new AI features that require system access, such as database routes or customer support APIs. Defining safety constraints prevents uncontrolled tool execution and manages operational authority before deployment.