Agentic Checkout Protocol Selector — OpenChainGraph compute node (routing_policy). Runs deterministically in-browser; zero PII, zero egress. Exports an AP2 artifact with execution_hash for chain provenance. Output feeds: art-20-acp-ucp-product-feed-conformance-auditor, ptg-01-ap2-prompt-template-...
AI agents use select_agentic_checkout_protocol to create or update resources in Ainumbers Mcp Apps — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ainumbers Mcp Apps environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
compute | string | — | Compute mode (v0.4 Compute Binding). "auto" (default) = server for gpu:false nodes with registered kernels; "server" = force server-side; "browser" = always ret |
parent_hashes | array | — | execution_hash values from upstream ChainGraph AP2 artifacts to chain from (sets chain.parent_hashes in the export). |
parent_tool_ids | array | — | tool_id values matching parent_hashes, in the same order. |
policy_parameters | object | — | Input parameters for this tool's decision function. For gpu:false nodes with a registered kernel, these are computed server-side when compute is "auto" or "serv |
Parameters from the server's own tool schema.
An AI agent can call select_agentic_checkout_protocol faster than any human can review — one bad instruction and it creates or modifies resources in Ainumbers Mcp Apps by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Agentic Checkout Protocol Selector — OpenChainGraph compute node (routing_policy). Runs deterministically in-browser; zero PII, zero egress. Exports an AP2 artifact with execution_hash for chain provenance. Output feeds: art-20-acp-ucp-product-feed-conformance-auditor, ptg-01-ap2-prompt-template-generator. Open at: https://ainumbers.co/chaingraph/art-19-agentic-checkout-protocol-selector.html. It is categorised as a Write tool in the Ainumbers Mcp Apps MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
select_agentic_checkout_protocol accepts 4 parameters: compute, parent_hashes, parent_tool_ids, policy_parameters. The full parameter table on this page comes from the server's own tool schema.
Register the Ainumbers Mcp Apps MCP server in PolicyLayer and add a rule for select_agentic_checkout_protocol: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Ainumbers Mcp Apps. Nothing to install.
select_agentic_checkout_protocol is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the select_agentic_checkout_protocol rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for select_agentic_checkout_protocol. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
select_agentic_checkout_protocol is provided by the Ainumbers Mcp Apps MCP server (postoaklabs/ainumbers-mcp-apps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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