prompt-engineering

Effective system prompts require a 4-layer architecture separating identity, tool usage, environment, and volatile context. This structured approach reduces ambiguity and risk by enforcing trigger-based descriptions, explicit rules, and actionable metadata for LLM agents.

Tool descriptions must begin with a clear trigger sentence specifying exactly when to use each tool. This trigger-aware structure, combined with explicit rules and structured metadata, ensures LLM agents understand tool usage conditions and avoid filler phrases that cause misfires.

Critique and refine prompts by applying quality checks against structured guidelines, ensuring trigger-based descriptions, and verifying the 4-layer prompt architecture. This removes filler phrases and enforces actionable tool descriptions to improve clarity and safety.

LLM agents misinterpret tool descriptions when they lack explicit trigger sentences or contain filler phrases. Resolving this requires applying trigger-aware descriptions, structured metadata, and explicit rules to ensure the agent understands exactly when to use each tool.

The guidelines apply to designing, critiquing, and refining system prompts, tool descriptions, and skill definitions across any LLM agent workflow. They enforce trigger-based descriptions and structured metadata to ensure clarity and safety in real development environments.

A 4-layer prompt structure requires maintaining strict separation between identity, tool usage, environment, and volatile layers. When descriptions lack explicit rules or structured metadata, the architecture cannot prevent ambiguity, making disciplined adherence to guidelines essential for safety.