Most multi-agent workflow failures come down to missing structure. Learn the three engineering patterns that make agent systems reliable.

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Multi-agent workflow failures are rarely caused by model capability—they stem from missing structure. Three engineering patterns help: (1) typed schemas enforce consistent data contracts between agents so invalid messages fail fast; (2) action schemas constrain the exact set of allowed agent actions, replacing vague intent with explicit instructions; and (3) enforcement via MCP (Model Context Protocol) ensures validation happens before execution, preventing bad state from reaching production. The core insight is to treat agents like distributed system components with strict interfaces, not like chat interfaces.

Multi-agent workflows often fail. Here’s how to engineer ones that don’t.

What multi-agent systems are and how to use them

1. Natural language is messy. Typed schemas make it reliable.

2. Vague intent breaks agents. Action schemas make it clear.

3. Loose interfaces create errors. MCP adds the structure agents need.