AI agents call delete_assets to permanently remove resources in PlayCanvas Editor MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool permanently removes assets from the PlayCanvas project, which cannot be undone through normal tool operations. While not as critical as financial or system-level destructive actions, deleting project assets represents significant irreversible damage to creative work.
From the tool's definition Tool name is 'delete_assets' with description 'Delete assets'. The verb 'delete' indicates irreversible removal of data.
Documented attack patterns abuse exactly the kind of access delete_assets gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PlayCanvas Editor MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_assets:
{
"version": "1",
"default": "deny",
"hide": [
"delete_assets"
]
} delete_assets disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Delete assets. It is categorised as a Destructive tool in the PlayCanvas Editor MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the PlayCanvas Editor MCP Server MCP server in PolicyLayer and add a rule for delete_assets: 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 PlayCanvas Editor MCP Server. Nothing to install.
delete_assets 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_assets 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_assets. 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_assets is provided by the PlayCanvas Editor MCP Server MCP server (playcanvas/editor-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 23 PlayCanvas Editor MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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23 PlayCanvas Editor MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.