Update an existing product bundle. Providing components replaces ALL current components — omit components to leave them unchanged. The operation is asynchronous — use get_bundle_operation with the returned operation ID to poll until status is COMPLETE. Requires write_products scope.
AI agents use update_bundle to create or update resources in Kockatoos Shopify MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kockatoos Shopify MCP Server environment.
This tool creates or modifies data reversibly by updating an existing product bundle configuration. While it can replace all components, the operation is not destructive (deletion/irreversible) and can be undone by subsequent updates.
From the tool's definition Tool description states 'Update an existing product bundle' and 'Providing components replaces ALL current components', indicating modification of existing data. Requires 'write_products scope' confirming write access.
Attacks that exploit this kind of access
Update an existing product bundle. Providing components replaces ALL current components — omit components to leave them unchanged. The operation is asynchronous — use get_bundle_operation with the returned operation ID to poll until status is COMPLETE. Requires write_products scope. It is categorised as a Write tool in the Kockatoos Shopify MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kockatoos Shopify MCP Server MCP server in PolicyLayer and add a rule for update_bundle: 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 Kockatoos Shopify MCP Server. Nothing to install.
update_bundle 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 update_bundle 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 update_bundle. 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.
update_bundle is provided by the Kockatoos Shopify MCP Server MCP server (untitled-developers/shopify-mcp). 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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