Proposed Method Uses Verifiable Contracts to Improve LLM Agent Reliability

A developer identifies a common problem where LLM agents perform well in demos but fail in real-world use. The core issue is a lack of precise definitions for agent tools, their outputs, and execution limits. The proposed solution treats each tool as a formal software boundary governed by a verifiable contract. These contracts define mandatory fields, data formats, execution timeouts, and permissible environments. This approach prevents unexpected outputs and enforces security, such as restricting data access based on user permissions.