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execute_approve_intent

Approve a pending trade intent and place the order at the broker. Returns the executed_order audit row. Requires trade scope.

Part of the Marketintell server.

execute_approve_intent can trigger actions in Marketintell, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke execute_approve_intent to trigger processes or run actions in Marketintell. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

execute_approve_intent can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_approve_intent": {
      "limits": [
        {
          "counter": "execute_approve_intent_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Marketintell policy for all 17 tools.

Get this rule live on your own Marketintell server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access execute_approve_intent gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so execute_approve_intent only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the execute_approve_intent tool do? +

Approve a pending trade intent and place the order at the broker. Returns the executed_order audit row. Requires trade scope.. It is categorised as a Execute tool in the Marketintell MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_approve_intent? +

Register the Marketintell MCP server in PolicyLayer and add a rule for execute_approve_intent: 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 Marketintell. Nothing to install.

What risk level is execute_approve_intent? +

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

Can I rate-limit execute_approve_intent? +

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

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

execute_approve_intent is provided by the Marketintell MCP server (marketintell). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Marketintell tool call.

Deterministic rules across all 17 Marketintell tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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