start_training_tool · Qiskit Gym MCP Server MCP

WHAT IT DOES

What start_training_tool does on Qiskit Gym MCP Server

AI agents invoke start_training_tool to trigger actions in Qiskit Gym 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 start_training_tool needs a policy

The tool appears to start training jobs in a quantum reinforcement learning framework. This constitutes Execute rather than Write because it triggers potentially long-running external operations and computational workflows whose side effects extend beyond simple data modification. Severity is high due to potential resource consumption, long execution times, and dependency on training parameters.

From the tool's definition Tool named 'start_training_tool' with no description provided. Based on sibling tools indicating quantum circuit synthesis via reinforcement learning (batch_train_environments_tool, ai_*_synthesis_tool), this tool likely initiates computational training…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

start_training_tool Rate-limited

start_training_tool 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": {
    "start_training_tool": {
      "limits": [
        {
          "counter": "start_training_tool_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 Qiskit Gym MCP Server, so you can run agents against it safely.

FAQ

Questions about start_training_tool

What does the start_training_tool tool do? +

start_training_tool. It is categorised as a Execute tool in the Qiskit Gym 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 start_training_tool? +

Register the Qiskit Gym MCP Server MCP server in PolicyLayer and add a rule for start_training_tool: 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 Qiskit Gym MCP Server. Nothing to install.

What risk level is start_training_tool? +

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

Can I rate-limit start_training_tool? +

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

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

start_training_tool is provided by the Qiskit Gym MCP Server MCP server (qiskit-gym-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.