dual_ai_agent_execute · DUAL MCP Server MCP: Risk & Policy

WHAT IT DOES

What dual_ai_agent_execute does on DUAL MCP Server

AI agents invoke dual_ai_agent_execute to trigger actions in DUAL MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why dual_ai_agent_execute needs a policy

This tool executes arbitrary agent logic against provided context. In a blockchain/Web3 environment, agent execution can trigger token minting, wallet transfers, smart contract interactions, and other operations whose effects depend on the agent's rules and context arguments. While labeled Execute, the financial implications in this Web3 context (token minting, blockchain transactions) elevate severity to critical.

From the tool's definition Tool name 'dual_ai_agent_execute' and description 'Execute an agent' directly indicate code/operation execution.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

dual_ai_agent_execute Rate-limited

dual_ai_agent_execute stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "dual_ai_agent_execute": {
      "limits": [
        {
          "counter": "dual_ai_agent_execute_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches DUAL MCP Server, so you can run agents against it safely.

FAQ

Questions about dual_ai_agent_execute

What does the dual_ai_agent_execute tool do? +

Execute an agent, evaluating its rules against the provided context. Supports dry-run mode. It is categorised as a Execute tool in the DUAL MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on dual_ai_agent_execute? +

Register the DUAL MCP Server MCP server in PolicyLayer and add a rule for dual_ai_agent_execute: 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 DUAL MCP Server. Nothing to install.

What risk level is dual_ai_agent_execute? +

dual_ai_agent_execute is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit dual_ai_agent_execute? +

Yes. Add a rate_limit block to the dual_ai_agent_execute 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 dual_ai_agent_execute completely? +

Set action: deny in the PolicyLayer policy for dual_ai_agent_execute. 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 dual_ai_agent_execute? +

dual_ai_agent_execute is provided by the DUAL MCP Server MCP server (ro-ro-b/dual-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.