agent-tool-builder

To create safe agent tools with built-in security validation, use a guided workflow that encodes identity, schema, and execution logic into a single self-contained class. This approach applies fail-closed defaults to ensure safe tool creation across frameworks.

The three-layer execution model for agent tool validation consists of validate_semantics, check_permissions, and _call layers. This structure separates input validation, security checks, and core logic to enforce fail-closed security postures by default.

Yes, the generated agent tool includes a Pydantic input model to satisfy structured outputs. It also features layered execution and security property defaults with explicit validations and permissions hooks.

The best way to structure self-contained agent tools is to combine identity, schema, security metadata, and execution logic in one class. This pattern ensures tools have a correct security posture and maintain fail-closed defaults across different agent frameworks.