sample_tool · QPanda3 Runtime MCP Server MCP: Risk & Policy

WHAT IT DOES

What sample_tool does on QPanda3 Runtime MCP Server

AI agents invoke sample_tool to trigger actions in QPanda3 Runtime 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 sample_tool needs a policy

Based on the server description mentioning 'circuit sampling' as a core function and the sibling tool 'batch_sample_tool', this tool likely submits quantum circuits for sampling execution on quantum processing units. This constitutes an Execute action (running computations on external hardware). The description is empty, reducing confidence.

From the tool's definition Tool name is 'sample_tool' on a server that 'Supports quantum computing tasks like circuit sampling' — sibling tools include 'batch_sample_tool' and 'estimate_tool', suggesting this executes quantum circuit sampling on QPUs.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

sample_tool Rate-limited

sample_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": {
    "sample_tool": {
      "limits": [
        {
          "counter": "sample_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 QPanda3 Runtime MCP Server, so you can run agents against it safely.

FAQ

Questions about sample_tool

What does the sample_tool tool do? +

sample_tool. It is categorised as a Execute tool in the QPanda3 Runtime 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 sample_tool? +

Register the QPanda3 Runtime MCP Server MCP server in PolicyLayer and add a rule for sample_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 QPanda3 Runtime MCP Server. Nothing to install.

What risk level is sample_tool? +

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

Can I rate-limit sample_tool? +

Yes. Add a rate_limit block to the sample_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 sample_tool completely? +

Set action: deny in the PolicyLayer policy for sample_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 sample_tool? +

sample_tool is provided by the QPanda3 Runtime MCP Server MCP server (originq/qpanda3-runtime-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.