Xianyin Zhang

FINMCP-BENCH: BENCHMARKING LLM AGENTS FOR REAL-WORLD FINANCIAL TOOL USE UNDER THE MODEL CONTEXT PROTOCOL

This paper introduces \textbf{FinMCP-Bench}, a novel benchmark for evaluating large language models (LLMs) in solving real-world financial problems through tool invocation of financial model context protocols. FinMCP-Bench contains 613 samples spanning 10 main scenarios and 33 sub-scenarios, featuri…