A2A Protocol Proposal Aims to Standardize How AI Agents Request Human Input

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A proposal filed on August 29, 2025, in A2A Discussion #1016 addresses a key gap in agentic workflows: the lack of a standard way for AI agents to describe the structured input they need when pausing for human decisions. Currently, agents rely on free-form text prompts that must simultaneously explain a decision to a human and define a data contract for software, two tasks that conflict. The Agent2Agent protocol already supports stateful tasks and structured JSON data parts, but no standard schema exists for agents to formally declare what kind of input they require. The proposal would allow a paused task to provide an input schema, turning approvals into booleans and choices into lists, enabling any generic A2A client to render appropriate controls and return validated structured data. This would improve interoperability across independent clients and agents, and make it easier for operators to track which tasks are blocked and route decisions to the right people.

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