simulate_work · Example Mcp Server Streamable Http MCP

WHAT IT DOES

What simulate_work does on Example Mcp Server Streamable Http

AI agents invoke simulate_work to trigger actions in Example Mcp Server Streamable Http. 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 simulate_work needs a policy

The tool actively executes a simulation process that sends periodic log notifications over time, which constitutes triggering an external operation. It is not a simple read/write but an ongoing execution that produces side effects (log notifications). Severity is medium as misuse could spam logs or consume resources, but blast radius is limited to the server's notification system.

From the tool's definition 'simulate_work' with description 'Sends periodic MCP log notifications to show streaming behavior and resumability' — triggers an active process that sends periodic notifications and demonstrates streaming/resumability behavior

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

simulate_work Rate-limited

simulate_work 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": {
    "simulate_work": {
      "limits": [
        {
          "counter": "simulate_work_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 Example Mcp Server Streamable Http, so you can run agents against it safely.

FAQ

Questions about simulate_work

What does the simulate_work tool do? +

Sends periodic MCP log notifications to show streaming behavior and resumability. It is categorised as a Execute tool in the Example Mcp Server Streamable Http MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on simulate_work? +

Register the Example Mcp Server Streamable Http MCP server in PolicyLayer and add a rule for simulate_work: 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 Example Mcp Server Streamable Http. Nothing to install.

What risk level is simulate_work? +

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

Can I rate-limit simulate_work? +

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

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

simulate_work is provided by the Example Mcp Server Streamable Http MCP server (yigitkonur/example-mcp-stateful). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.