create_resource_feedback · Shopify Graphql MCP

WHAT IT DOES

What create_resource_feedback does on Shopify Graphql

AI agents use create_resource_feedback 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 IT NEEDS A POLICY

Why create_resource_feedback needs a policy

This tool creates feedback records, which is a reversible write operation. It does not execute external commands, delete data irreversibly, move money, or perform destructive operations. While it modifies store data, the impact is limited to creating new feedback entries that can be managed or removed.

From the tool's definition Tool name 'create_resource_feedback' and description 'Create a resource feedback' indicate data creation without deletion or financial impact. The 'create' verb denotes reversible modification—feedback can be updated or deleted later.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_resource_feedback Rate-limited

create_resource_feedback 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_resource_feedback": {
      "limits": [
        {
          "counter": "create_resource_feedback_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Shopify Graphql, so you can run agents against it safely.

FAQ

Questions about create_resource_feedback

What does the create_resource_feedback tool do? +

Create a resource feedback. 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.

How do I enforce a policy on create_resource_feedback? +

Register the Shopify Graphql MCP server in PolicyLayer and add a rule for create_resource_feedback: 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.

What risk level is create_resource_feedback? +

create_resource_feedback is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_resource_feedback? +

Yes. Add a rate_limit block to the create_resource_feedback 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.

How do I block create_resource_feedback completely? +

Set action: deny in the PolicyLayer policy for create_resource_feedback. 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.

What MCP server provides create_resource_feedback? +

create_resource_feedback 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.