save_model_tool · Qiskit Documentation MCP Server MCP

WHAT IT DOES

What save_model_tool does on Qiskit Documentation MCP Server

AI agents use save_model_tool to create or update resources in Qiskit Documentation MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Qiskit Documentation MCP Server environment.

WHY IT NEEDS A POLICY

Why save_model_tool needs a policy

The name strongly suggests creating or modifying persisted data (saving a model file/state). This is reversible (can be overwritten or deleted later), making it Write rather than Destructive. Severity is medium because unintended model saves could consume storage, overwrite important models, or interfere with workflows, but without seeing actual parameters or full context, confidence is moderate at 0.6.

From the tool's definition Tool name 'save_model_tool' indicates a write operation that persists data (a machine learning or quantum model). Description is empty, limiting certainty.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

save_model_tool Rate-limited

save_model_tool stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "save_model_tool": {
      "limits": [
        {
          "counter": "save_model_tool_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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 Documentation MCP Server, so you can run agents against it safely.

FAQ

Questions about save_model_tool

What does the save_model_tool tool do? +

save_model_tool. It is categorised as a Write tool in the Qiskit Documentation MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_model_tool? +

Register the Qiskit Documentation MCP Server MCP server in PolicyLayer and add a rule for save_model_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 Documentation MCP Server. Nothing to install.

What risk level is save_model_tool? +

save_model_tool is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit save_model_tool? +

Yes. Add a rate_limit block to the save_model_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 save_model_tool completely? +

Set action: deny in the PolicyLayer policy for save_model_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 save_model_tool? +

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