Clean up old temporary files.
AI agents call cleanup_temp_files to permanently remove resources in GPT Image MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cleaning up files is an irreversible deletion operation — once temporary files are removed, they cannot be recovered. While the blast radius is limited to temporary files (reducing severity to medium), the action is inherently destructive and cannot be undone.
From the tool's definition Clean up old temporary files
Attacks that exploit this kind of access
Clean up old temporary files. It is categorised as a Destructive tool in the GPT Image MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the GPT Image MCP Server MCP server in PolicyLayer and add a rule for cleanup_temp_files: 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 GPT Image MCP Server. Nothing to install.
cleanup_temp_files is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the cleanup_temp_files 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 cleanup_temp_files. 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.
cleanup_temp_files is provided by the GPT Image MCP Server MCP server (labeveryday/gpt-image-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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