complete_checkout
Convert an abandoned checkout to a draft order (for recovery)
This record as markdown: /tools/uvu-store-shopify-graphql-mcp/complete-checkout.md
What complete_checkout does on Shopify Graphql
AI agents use complete_checkout to create or update resources in Shopify Graphql, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Shopify Graphql environment.
Why complete_checkout is rated Medium
This tool creates a new draft order from an abandoned checkout, which is a reversible data modification operation. While it involves financial implications (the draft order represents a potential purchase), it does not directly move money or commit financial obligations—it merely prepares an order for processing.
From the tool's definition Tool name 'complete_checkout' and description 'Convert an abandoned checkout to a draft order' indicates creating or modifying a draft order object in Shopify's system.
Attacks that exploit this kind of access
The rule that runs complete_checkout safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Shopify Graphql, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For complete_checkout, this is the rule to start with:
complete_checkout 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 Shopify Graphql, apply this rule, and every complete_checkout call is checked against it from then on.
Questions about complete_checkout
Convert an abandoned checkout to a draft order (for recovery). It is categorised as a Write tool in the Shopify Graphql MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Shopify Graphql MCP server in PolicyLayer and add a rule for complete_checkout: 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 Shopify Graphql. Nothing to install.
complete_checkout 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 complete_checkout 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 complete_checkout. 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.
complete_checkout is provided by the Shopify Graphql MCP server (uvu-store/shopify-graphql-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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