Edit an existing unfilled Alpha Arcade order in-place (change price, quantity, or slippage). Faster than cancel + recreate.
AI agents use alpha_amend_order to commit financial operations through Algorand MCP — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool modifies financial trading orders on a blockchain marketplace, directly affecting financial positions and commitments. Changing price, quantity, or slippage on live orders constitutes a financial operation with potential monetary impact if misused by an AI agent.
From the tool's definition Edit an existing unfilled Alpha Arcade order in-place (change price, quantity, or slippage)
Documented attack patterns abuse exactly the kind of access alpha_amend_order gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Algorand MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for alpha_amend_order:
{
"version": "1",
"default": "deny",
"tools": {
"alpha_amend_order": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to alpha_amend_order is blocked until a human approves it. The rest of the server keeps working.
Free to start. No card required.
Edit an existing unfilled Alpha Arcade order in-place (change price, quantity, or slippage). Faster than cancel + recreate. It is categorised as a Financial tool in the Algorand MCP MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Algorand MCP server in PolicyLayer and add a rule for alpha_amend_order: 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 Algorand MCP. Nothing to install.
alpha_amend_order is a Financial 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 alpha_amend_order 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 alpha_amend_order. 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.
alpha_amend_order is provided by the Algorand MCP server (goplausible/algorand-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Algorand MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
172 Algorand MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.