Stacking the Odds: Why Blocksworld Still Breaks Your Fancy LLM Agent
A robot arm, a few colored blocks, and a table. That is the setup. No messy warehouse, no sensor dust, no tired operator, no forklift reversing into the wrong aisle. Just blocks. And still, the fancy LLM agent stumbles. That is the useful discomfort in Benchmark for Planning and Control with Large Language Model Agents: Blocksworld with Model Context Protocol.1 The paper does not show a robot revolution. It shows something more valuable for anyone trying to deploy LLM agents in industrial workflows: even in a symbolic world where the rules are explicit, the actions are discrete, the state can be queried, and the tool interface is standardized, reliability degrades as soon as the task stops being politely simple. ...