How an unsupported tool-call response could become “perfectly stable” in an LLM benchmark

While reviewing an LLM output-stability benchmark, I found a latent gap between its documented scope and its scoring pipeline. Tool-call responses weren’t supported, but the response parsers could erase them: The OpenAI adapter used message.get("content") or "". A tool-call response with null content would become "". The Anthropic adapter kept only text blocks, dropping tool_use blocks. The scorer exc