MIT团队发布文明VI智能体基准测试，揭示AI在长期规划中的监控和执行缺陷。
CivBench是一个开源基准测试，通过模型上下文协议(MCP)评估语言模型在长期工具中介环境中的表现。单个测试包含300多回合，产生数千次工具调用，需要在不完全可观察环境下进行持续规划、状态监控和执行。该环境提供76个MCP工具和一个将视觉游戏状态转换为结构化文本的叙述层。研究团队使用CivBench对四个模型家族的23次可接受运行进行了行为特征分析，并引入了主动监控率(PMR)和RAG@10两个界面级指标。
CivBench: A Long-Horizon Benchmark for Tool-Mediated Agents in Civilization VI
We present CivBench, an open-source benchmark for evaluating language model agents in long-horizon, tool-mediated environments through the Model Context Protocol (MCP). A single episode spans 300+ turns and produces thousands of tool calls over a large action space, requiring sustained planning, state monitoring, and execution under partial observability. The environment exposes 76 MCP tools and a narration layer that converts visual game state into structured text. We use CivBench to characterise agent behaviour across four model families in 23 admissible runs. The sample is a pilot, not a model ranking: aggregate outcomes do not reliably discriminate models at this scale. Instead, we introduce two interface-level metrics that the environment makes measurable: Proactive Monitoring Rate (PMR), capturing whether agents actively query latent strategic state, and RAG@10, capturing whether commitments stated in structured planning reflections are executed within ten subsequent turns. Across runs we observe two consistent patterns under a shared playbook protocol. Agents under-monitor strategically relevant state that is available but requires explicit querying: despite playbook guidance to query victory progress every 20 turns, agents do so only every 30 to 75 turns, and in 7 of 20 detectable defeats they failed to query within the 20 turn warning window before game end. Agents also frequently fail to execute near-term commitments stated in their own planning reflections (RAG@10 between 48.2% and 65.8% across models). Both patterns arise despite tool access and explicit guidance, and we interpret them as deviations under instruction rather than absences of capability. We release the environment, scenarios, logs, metrics, and analysis pipeline at https://github.com/lmwilki/civ6-mcp