Load a saved model from disk.
AI agents call load_model_tool to retrieve information from Qiskit Gym MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Loading a model is a read operation that retrieves pre-existing data from storage. It does not create, modify, delete, or execute arbitrary code. The severity is low because misuse would only affect which model is loaded into memory for inference, without enabling destructive or financial harm. Confidence is high due to the explicit and clear description.
From the tool's definition Tool description states 'Load a saved model from disk' — a retrieval operation with no side effects on the model or system state.
Attacks that exploit this kind of access
Load a saved model from disk. It is categorised as a Read tool in the Qiskit Gym MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Qiskit Gym MCP Server MCP server in PolicyLayer and add a rule for load_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 Gym MCP Server. Nothing to install.
load_model_tool is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the load_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.
Set action: deny in the PolicyLayer policy for load_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.
load_model_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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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