arXiv Artificial Intelligence

A Taxonomy of Runtime Faults in Model Context Protocol Servers

2 hours ago 23.09.2026 07:00 👁 1 views
A Taxonomy of Runtime Faults in Model Context Protocol Servers

Quick summary

arXiv:2606.05339v2 Announce Type: replace-cross Abstract: MCP (Model Context Protocol) enables LLMs (Large Language Models) to interact with external tools and data sources via a standardized protocol. Its rapid adoption in tool-augmented Artificial Intelligence (AI) workflows has introduced new reliability challenges, such as configuration parameters that are accepted but not enforced at runtime, leading to unintended default behavior, whose runtime fault characteristics remain empirically unexamined. We present the first empirical taxonomy of runtime faults in MCP servers. We manually analyz

Key takeaways

  • arXiv:2606.05339v2 Announce Type: replace-cross Abstract: MCP (Model Context Protocol) enables LLMs (Large Language Models) to interact with external tools and data sources via a standardized protocol.
  • Its rapid adoption in tool-augmented Artificial Intelligence (AI) workflows has introduced new reliability challenges, such as configuration parameters that are accepted but not enforced at runtime, leading to unintended default behavior, whose runtime fault characteristics remain empirically unexamined.
  • We present the first empirical taxonomy of runtime faults in MCP servers.

Why it matters

“A Taxonomy of Runtime Faults in Model Context Protocol Servers” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗