Benchmarking AI Agents for Hardware Design Automation via MCP Tool Calling
Results show that strong models can achieve near-complete expected-call coverage on the benchmarked workflows, but reliability depends strongly on both task structure and agent configuration, and practical guidance for deploying local LLM agents in stateful hardware design environments is provided.