AI RESEARCH
Description-Code Inconsistency in Real-world MCP Servers: Measurement, Detection, and Security Implications
arXiv CS.AI
•
ArXi:2606.04769v1 Announce Type: cross The Model Context Protocol (MCP) has emerged as a critical standard empowering Large Language Models (LLMs) to utilize external tools. In this ecosystem, LLMs rely on natural language descriptions provided by MCP servers to select and execute functions. This interaction implicitly assumes that tool descriptions faithfully reflect their underlying implementations, while this assumption is not mandatorily verified in practice.