maple_autoroute_call · Maple MCP: Risk & Policy

WHAT IT DOES

What maple_autoroute_call does on Maple

AI agents invoke maple_autoroute_call to trigger actions in Maple. 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 maple_autoroute_call needs a policy

This tool executes arbitrary downstream tools on behalf of an LLM agent — it resolves, connects, and invokes tools through a firewall in a single call. The blast radius is critical because it acts as a universal execution gateway: a misuse or prompt injection could trigger any downstream tool (including destructive or financial ones) through this single entry point.

From the tool's definition 'One-call execution path for LLMs: resolve downstream app, optionally auto-connect from marketplace, then call the requested tool through Maple firewall.'

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

maple_autoroute_call Rate-limited

maple_autoroute_call 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": {
    "maple_autoroute_call": {
      "limits": [
        {
          "counter": "maple_autoroute_call_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 Maple, so you can run agents against it safely.

FAQ

Questions about maple_autoroute_call

What does the maple_autoroute_call tool do? +

One-call execution path for LLMs: resolve downstream app, optionally auto-connect from marketplace, then call the requested tool through Maple firewall. It is categorised as a Execute tool in the Maple MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on maple_autoroute_call? +

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

What risk level is maple_autoroute_call? +

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

Can I rate-limit maple_autoroute_call? +

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

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

maple_autoroute_call is provided by the Maple MCP server (omar2001ramadan/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.