Delete a specific config snapshot. Use list_snapshots to find snapshot IDs. Useful for freeing up space when the snapshot limit is reached.
Part of the Agentled server.
Free to start. No card required.
AI agents may call delete_snapshot to permanently remove or destroy resources in Agentled. 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 delete_snapshot in a loop, permanently destroying resources in Agentled. 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": [
"delete_snapshot"
]
}See the full Agentled policy for all 119 tools.
These attack patterns abuse exactly the kind of access delete_snapshot 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.
Delete a specific config snapshot. Use list_snapshots to find snapshot IDs. Useful for freeing up space when the snapshot limit is reached.. It is categorised as a Destructive tool in the Agentled MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Agentled MCP server in PolicyLayer and add a rule for delete_snapshot: 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 Agentled. Nothing to install.
delete_snapshot 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 delete_snapshot 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 delete_snapshot. 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.
delete_snapshot is provided by the Agentled MCP server (@agentled/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 119 Agentled 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.