Postman says the hardest part of bringing Agent Mode to a platform used by 40 million developers was not choosing a model. It was exposing an 11-year-old product to an agent without overwhelming it with tools and context.
The feature works across API testing, documentation, discovery and implementation. Early designs offered many small tools, each representing one precise interface action. That made individual steps controllable but forced long workflows through repeated model calls. Postman instead scopes tools to the current task and provides structured reads that expose the state an agent needs without making it navigate the human interface.
Actions that modify application state still require user approval. Amazon Bedrock supplies model access, geographically scoped routing and prompt caching, while an optional Bedrock Guardrails setting removes personally identifiable information before content reaches the model. Retention behavior depends on the selected model.
The architecture is a company case study rather than an independent reliability test, and the post does not publish a universal success rate. Its useful constraint is that adding more tools can make an agent worse by increasing selection errors and context use. Production systems need deliberate tool boundaries, purpose-built data access and monitoring, not simply a larger model attached to every existing endpoint.