Remove unused images. Requires confirmation for safety. First call without confirm to see what will be removed, then call again with confirm=true to proceed.
Part of the Docker server.
Free to start. No card required.
AI agents may call docker_prune_images to permanently remove or destroy resources in Docker. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call docker_prune_images in a loop, permanently destroying resources in Docker. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"docker_prune_images"
]
}See the full Docker policy for all 56 tools.
These attack patterns abuse exactly the kind of access docker_prune_images gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Remove unused images. Requires confirmation for safety. First call without confirm to see what will be removed, then call again with confirm=true to proceed.. It is categorised as a Destructive tool in the Docker MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Docker MCP server in PolicyLayer and add a rule for docker_prune_images: 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 Docker. Nothing to install.
docker_prune_images 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 docker_prune_images 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 docker_prune_images. 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.
docker_prune_images is provided by the Docker MCP server (@alisaitteke/docker-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 56 Docker tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.