Google Research proposes ToolGrad, generating tool-calling datasets efficiently with textual 'gradients'
ToolGrad: Efficient tool-use dataset generation with textual "gradients"
What happened
Google Research proposes ToolGrad, a “answer-first, question-second” approach to generating tool-use data: first create a ground-truth tool-call chain, then work backward to infer the user's prompt, using just one LLM call.
Google / GeminiAgentsData and trainingMCP and tool usePapers and research#Research#Agent#Data and training#Google#MCP and tool calling
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