Burn/destroy tokens from your balance (only works if token was deployed with burnable=true)
Part of the Token Tool server.
Free to start. No card required.
AI agents may call burn_tokens to permanently remove or destroy resources in Token Tool. 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 burn_tokens in a loop, permanently destroying resources in Token Tool. 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": [
"burn_tokens"
]
}See the full Token Tool policy for all 11 tools.
These attack patterns abuse exactly the kind of access burn_tokens 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.
Burn/destroy tokens from your balance (only works if token was deployed with burnable=true). It is categorised as a Destructive tool in the Token Tool MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Token Tool MCP server in PolicyLayer and add a rule for burn_tokens: 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 Token Tool. Nothing to install.
burn_tokens 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 burn_tokens 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 burn_tokens. 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.
burn_tokens is provided by the Token Tool MCP server (token-tool-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 Token Tool 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.