alpha_propose_match

THE RISK

Critical Risk

Why alpha_propose_match needs a policy

This tool initiates a trade/match execution on a financial marketplace (Alpha Arcade), committing the user's wallet as taker to fulfill an existing maker order. This constitutes a financial transaction that moves assets between parties on-chain, placing it in the Financial category. Severity is high because misuse could result in unintended asset transfers from the user's wallet.

From the tool's definition Propose a match between an existing maker order and your wallet as taker on Alpha Arcade

Documented attack patterns abuse exactly the kind of access alpha_propose_match gives an agent:

POLICY

How to control alpha_propose_match

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_propose_match:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "alpha_propose_match": {
      "deny_if": [
        {
          "conditions": [],
          "on_deny": "Requires human approval."
        }
      ]
    }
  }
}

Any call to alpha_propose_match is blocked until a human approves it. The rest of the server keeps working.

Create a free account and register Algorand MCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

Govern MCP payment tools → Approval gates, spend caps, and per-identity scopes on every refund, payout, and charge your agents make.
Critical-risk tools in Algorand MCP → Every critical-risk tool this server exposes, in one view.
All critical-risk MCP tools → Every critical-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Human-in-the-loop → When a tool call should wait for a person — and when policy can decide alone.
Tool call approval → Approval gates on individual tool calls: auto-allow, prompt, or deny.
How to Add Spending Controls to Any MCP Agent →
Rate Limiting MCP Tool Calls: A Practical Guide →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about alpha_propose_match

What does the alpha_propose_match tool do? +

Propose a match between an existing maker order and your wallet as taker on Alpha Arcade. 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.

How do I enforce a policy on alpha_propose_match? +

Register the Algorand MCP server in PolicyLayer and add a rule for alpha_propose_match: 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.

What risk level is alpha_propose_match? +

alpha_propose_match is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit alpha_propose_match? +

Yes. Add a rate_limit block to the alpha_propose_match 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.

How do I block alpha_propose_match completely? +

Set action: deny in the PolicyLayer policy for alpha_propose_match. 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.

What MCP server provides alpha_propose_match? +

alpha_propose_match 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.

Enforce policy on every Algorand MCP tool call.

Start from Algorand MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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