High Risk →

hitl-execute

Internal — approve a candidate solution and create issues on the target platform (Jira stories or GitHub issues).

Risk signalsHigh parameter count (12 properties)

Part of the BrainFlow server.

hitl-execute can trigger actions in BrainFlow, 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 hitl-execute to trigger processes or run actions in BrainFlow. 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.

hitl-execute 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": {
    "hitl-execute": {
      "limits": [
        {
          "counter": "hitl-execute_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full BrainFlow policy for all 12 tools.

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

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View all 12 tools →

These attack patterns abuse exactly the kind of access hitl-execute 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 hitl-execute 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 hitl-execute tool do? +

Internal — approve a candidate solution and create issues on the target platform (Jira stories or GitHub issues).. It is categorised as a Execute tool in the BrainFlow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on hitl-execute? +

Register the BrainFlow MCP server in PolicyLayer and add a rule for hitl-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 BrainFlow. Nothing to install.

What risk level is hitl-execute? +

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

Can I rate-limit hitl-execute? +

Yes. Add a rate_limit block to the hitl-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 hitl-execute completely? +

Set action: deny in the PolicyLayer policy for hitl-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 hitl-execute? +

hitl-execute is provided by the BrainFlow MCP server (https://alpichack-3c740d01.alpic.live). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every BrainFlow tool call.

Deterministic rules across all 12 BrainFlow tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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