build_google_ap2_mandate
Build or validate a Google AP2 Checkout/Payment Mandate VDC (Open/Closed). Targets the external AP2 spec, not the AINumbers Policy Mandate. Renders the interactive AINumbers tool as a widget; inputs are applied via the AIN Bridge and the tool runs client-side (zero PII, zero network). Output sche...
This record as markdown: /tools/postoaklabs-ainumbers-mcp-apps/build-google-ap2-mandate.md
What build_google_ap2_mandate does on Ainumbers Mcp Apps
AI agents use build_google_ap2_mandate 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 |
|---|---|---|---|
inputs | object | — | Map of tool input element IDs to values (see manifest input_schema). Applied via AIN Bridge prefill. |
Parameters from the server's own tool schema.
Why build_google_ap2_mandate is rated Medium
Creates or validates a payment mandate structure, though runs client-side with no real transactions.
From the tool's definition Build or validate a Google AP2 Checkout/Payment Mandate VDC
Attacks that exploit this kind of access
The rule that runs build_google_ap2_mandate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ainumbers Mcp Apps, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For build_google_ap2_mandate, this is the rule to start with:
build_google_ap2_mandate stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ainumbers Mcp Apps, apply this rule, and every build_google_ap2_mandate call is checked against it from then on.
Questions about build_google_ap2_mandate
Build or validate a Google AP2 Checkout/Payment Mandate VDC (Open/Closed). Targets the external AP2 spec, not the AINumbers Policy Mandate. Renders the interactive AINumbers tool as a widget; inputs are applied via the AIN Bridge and the tool runs client-side (zero PII, zero network). Output schema: call describe_tool("build_google_ap2_mandate"). 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.
build_google_ap2_mandate accepts 1 parameter: inputs. 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 build_google_ap2_mandate: 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.
build_google_ap2_mandate 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 build_google_ap2_mandate 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 build_google_ap2_mandate. 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.
build_google_ap2_mandate 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.
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