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Author

J. Owotogbe

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#artificial intelligence Preprint Oct 2026

Tool-Calling LLM Agents Under Realistic MCP Faults: Scale Does Not Purchase Fault Tolerance

LLM agents increasingly rely on external tools exposed via the Model Context Protocol (MCP), yet current benchmarks assume tools respond correctly and on time, leaving agent resilience to realistic tool failures untested. We introduce MCP-Injector, a drop-in, protocol-aware fault-injection middleware that interposes on...

Antonio Ken Iannillo, J. Owotogbe, Roberto Natella et al. · 0 citations
#artificial intelligence Review Oct 2026

Actionable Meta-Requirements for AI Robustness Auditing

Meta-requirements can help organizations implement AI robustness auditing frameworks, assess existing frameworks for completeness, and refine them and are derived from literature and validated and refine it with practitioners.

J. Owotogbe, R. Nasiri, I. Kumara et al. · 0 citations

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