mold_waitForJob · ABLESTACK MOLD MCP Server MCP

WHAT IT DOES

What mold_waitForJob does on ABLESTACK MOLD MCP Server

AI agents invoke mold_waitForJob to trigger actions in ABLESTACK MOLD 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 mold_waitForJob needs a policy

mold_waitForJob is classified as Execute rather than Read because it actively polls and monitors the state of async CloudStack operations until they reach terminal states. While polling itself is not destructive, this tool enables and completes the execution cycle of other infrastructure commands (VM start/stop, API calls).

From the tool's definition Tool performs polling of async job results via queryAsyncJobResult until completion (status 1) or failure (status 2). Description indicates active monitoring/waiting behavior for cloud infrastructure operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

mold_waitForJob Rate-limited

mold_waitForJob 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": {
    "mold_waitForJob": {
      "limits": [
        {
          "counter": "mold_waitforjob_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 ABLESTACK MOLD MCP Server, so you can run agents against it safely.

FAQ

Questions about mold_waitForJob

What does the mold_waitForJob tool do? +

queryAsyncJobResult를 주기적으로 호출하여 완료(1)/실패(2)까지 대기. It is categorised as a Execute tool in the ABLESTACK MOLD 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 mold_waitForJob? +

Register the ABLESTACK MOLD MCP Server MCP server in PolicyLayer and add a rule for mold_waitForJob: 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 ABLESTACK MOLD MCP Server. Nothing to install.

What risk level is mold_waitForJob? +

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

Can I rate-limit mold_waitForJob? +

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

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

mold_waitForJob is provided by the ABLESTACK MOLD MCP Server MCP server (ycyun/ablestack-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.