Structured Authority Injection: Persistent Human Control for LLM Agents via Typed MCP Overrides
In brief
- SAI injects structured human directives through MCP to avoid ambiguous interpretations.
- The protocol maintains a ranked authority context that persists across planning cycles.
- Evaluation across 9 LLMs and 8 scenarios shows reduced authority decay and up to 38% lower prompt overhead.
Researchers introduce Structured Authority Injection (SAI), a protocol to inject structured, persistent human directives into LLM agents via the Model Context Protocol (MCP). SAI reduces interpretation ambiguities and mitigates authority erosion during planning cycles without requiring fine-tuning or access to model weights.
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