Copy an object between Cloud Storage buckets
AI agents use storage_copy_object to create or update resources in Google Cloud — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Cloud environment.
This tool creates or modifies data (copies objects) without permanent deletion. While copying between buckets could affect large volumes of data and incur costs, the operation is reversible (the copy can be deleted). It does not execute arbitrary code, delete irreversibly, or move money, so Write is the appropriate category.
From the tool's definition Tool name 'storage_copy_object' and description 'Copy an object between Cloud Storage buckets' indicate data modification—the tool creates a copy of data in a new location, which is a reversible write operation.
Attacks that exploit this kind of access
Copy an object between Cloud Storage buckets. It is categorised as a Write tool in the Google Cloud MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google Cloud MCP server in PolicyLayer and add a rule for storage_copy_object: 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 Google Cloud. Nothing to install.
storage_copy_object 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 storage_copy_object 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 storage_copy_object. 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.
storage_copy_object is provided by the Google Cloud MCP server (lockon-n/google-cloud-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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