One-year anniversary spec adds async Tasks, improved OAuth support, and extensions; first revision with backward-compatibility guarantees.
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OpenAI released an expanded ChatGPT shopping research mode 1 this week, enabling product comparison and purchase guidance across a wider range of retail categories including electronics, home goods, and apparel. The mode surfaces product details from participating retailers and connects to purchase flows without completing transactions itself. On the same day, the Model Context Protocol consortium published an updated specification 2 clarifying tool-calling semantics for payment and commerce operations.
The MCP update introduces a commerce tool category with defined request schemas for cart management, price queries, and payment initiation. The update is backward-compatible with the November 2024 original specification 3 and adds explicit error codes for commerce-specific failure modes including insufficient funds and merchant unavailability.
ChatGPT’s shopping research expansion addresses a discovery and comparison use case upstream of transaction completion, distinct from the ACP Instant Checkout integration 4 launched seven weeks prior. The research mode serves users at an earlier stage of the purchase journey; Instant Checkout handles the transaction itself. MCP’s commerce additions formalise the tool-calling surface that ACP Instant Checkout uses informally.
Two of seven tracked lanes were active this week. The MCP specification update is the first formal standard revision since the protocol’s debut exactly one year prior 3, and the only Standards-lane event since Google’s AP2 publication in September.
One-year anniversary spec adds async Tasks, improved OAuth support, and extensions; first revision with backward-compatibility guarantees.
Model Context Protocol BlogProduct discovery feature powered by a reinforcement-trained GPT-5 mini variant achieves 52% accuracy on multi-constraint queries; available free to all logged-in users.
OpenAI