batch_estimate_tool · QPanda3 Runtime MCP Server MCP

WHAT IT DOES

What batch_estimate_tool does on QPanda3 Runtime MCP Server

AI agents invoke batch_estimate_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 batch_estimate_tool needs a policy

The tool name suggests batch expectation value estimation on quantum hardware. Based on sibling tools like 'estimate_tool' and 'estimate_with_binding_tool', this likely submits multiple quantum circuits to QPUs for execution. This is an Execute-class operation as it triggers external quantum computation jobs. Severity is high due to batch nature (could consume significant quantum compute resources/credits).

From the tool's definition Tool name 'batch_estimate_tool' on a quantum computing server that supports 'expectation estimation' and 'batch operations on quantum processing units'

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

batch_estimate_tool Rate-limited

batch_estimate_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": {
    "batch_estimate_tool": {
      "limits": [
        {
          "counter": "batch_estimate_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 batch_estimate_tool

What does the batch_estimate_tool tool do? +

batch_estimate_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 batch_estimate_tool? +

Register the QPanda3 Runtime MCP Server MCP server in PolicyLayer and add a rule for batch_estimate_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 batch_estimate_tool? +

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

Can I rate-limit batch_estimate_tool? +

Yes. Add a rate_limit block to the batch_estimate_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 batch_estimate_tool completely? +

Set action: deny in the PolicyLayer policy for batch_estimate_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 batch_estimate_tool? +

batch_estimate_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.