This record as markdown: /tools/uvu-store-shopify-graphql-mcp/open-order.md
What open_order does on Shopify Graphql
AI agents use open_order 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 open_order is rated Medium
This tool modifies existing order data by changing its status from closed to open. This is a Write operation because it creates a state change that is reversible (the order can be closed again). It does not delete data (not Destructive), execute arbitrary code (not Execute), or move money (not Financial).
From the tool's definition Tool description states 'Reopen a closed order' - this modifies the state of an order from closed to open, a reversible change to order data in Shopify.
Attacks that exploit this kind of access
The rule that runs open_order 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 open_order, this is the rule to start with:
open_order 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 open_order call is checked against it from then on.
Questions about open_order
Reopen a closed order. 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 open_order: 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.
open_order 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 open_order 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 open_order. 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.
open_order 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.
More on Shopify Graphql, and thousands of servers like it.
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