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Structured Authority Injection: Persistent Human Control for LLM Agents via Typed MCP Overrides
Not provided in the abstract
control mechanismsLLM agentsauthority injection
2610.22373
Builder Relevance
1h ago80%
Abstract
The paper proposes Structured Authority Injection (SAI) to enable persistent human control over LLM-based agents by addressing the control gap in directive interpretation and authority erosion.
Reality Card
Core Claim
SAI effectively reduces ambiguous directive interpretation and mitigates authority decay across planning iterations in LLM-based agents without requiring model fine-tuning.
Method / Result
SAI shows up to 38% lower prompt overhead in the strongest models evaluated across nine LLMs and eight scenarios.
Limitations
The benefit of SAI varies substantially across different models, which may affect reproducibility.
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