Burn USDA tokens to reduce total supply
AI agents call arkadiko_burn_usda to permanently remove resources in Stacks AI MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Burning tokens is an irreversible operation that permanently destroys assets (USDA tokens) and reduces total supply. This cannot be undone, making it Destructive. Severity is high because an AI agent misusing this tool could permanently destroy a user's tokens/funds.
From the tool's definition Burn USDA tokens to reduce total supply
Attacks that exploit this kind of access
Burn USDA tokens to reduce total supply. It is categorised as a Destructive tool in the Stacks AI MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Stacks AI MCP Server MCP server in PolicyLayer and add a rule for arkadiko_burn_usda: 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 Stacks AI MCP Server. Nothing to install.
arkadiko_burn_usda 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 arkadiko_burn_usda 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 arkadiko_burn_usda. 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.
arkadiko_burn_usda is provided by the Stacks AI MCP Server MCP server (stack-ai-mcp/stacks-mcp-server). 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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