fal-enqueue · Mcp Gmail MCP: Risk & Policy

WHAT IT DOES

What fal-enqueue does on Mcp Gmail

AI agents invoke fal-enqueue to trigger actions in Mcp Gmail. 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 fal-enqueue needs a policy

The tool enqueues and executes arbitrary models via the fal.run endpoint, which is an external operation. This is Execute-class because it triggers code/model execution whose side effects depend on the arguments provided (which model, what inputs). The tool itself does not delete data (not Destructive) or handle money (not Financial), but it can run arbitrary inference workloads.

From the tool's definition "Enqueue a model. The model is enqueued using the fal.run endpoint" - indicates execution of external models/operations via an API endpoint; the tool triggers asynchronous operations whose effects depend on which model is enqueued and its arguments.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

fal-enqueue Rate-limited

fal-enqueue 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": {
    "fal-enqueue": {
      "limits": [
        {
          "counter": "fal-enqueue_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 Mcp Gmail, so you can run agents against it safely.

FAQ

Questions about fal-enqueue

What does the fal-enqueue tool do? +

Enqueue a model. The model is enqueued using the fal.run endpoint. You need to check the status of the model using the fal-get-status tool, then get the result using the fal-get-result tool. It is categorised as a Execute tool in the Mcp Gmail MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on fal-enqueue? +

Register the Mcp Gmail MCP server in PolicyLayer and add a rule for fal-enqueue: 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 Mcp Gmail. Nothing to install.

What risk level is fal-enqueue? +

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

Can I rate-limit fal-enqueue? +

Yes. Add a rate_limit block to the fal-enqueue 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 fal-enqueue completely? +

Set action: deny in the PolicyLayer policy for fal-enqueue. 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 fal-enqueue? +

fal-enqueue is provided by the Mcp Gmail MCP server (@monsoft/mcp-gmail). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.