wait_for_training_tool
A execute tool on the Qiskit IBM Transpiler MCP server.
This record as markdown: /tools/qiskit-ibm-transpiler-mcp-server/wait-for-training-tool.md
What wait_for_training_tool does on Qiskit IBM Transpiler MCP Server
AI agents invoke wait_for_training_tool to trigger actions in Qiskit IBM Transpiler 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 wait_for_training_tool is rated High
This tool appears to execute or coordinate external training workflows. While 'wait' might suggest passivity, in the context of batch training environments on a quantum computing platform, this likely triggers state changes or commits computational resources. It does not merely read data (Read), as it engages with active training processes.
From the tool's definition Tool name 'wait_for_training_tool' suggests it awaits completion of a training operation. Given the sibling tools include 'batch_train_environments_tool' and this is a Qiskit IBM Transpiler MCP server, this tool likely blocks execution until a remote training…
Attacks that exploit this kind of access
The rule that runs wait_for_training_tool safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Qiskit IBM Transpiler MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wait_for_training_tool, this is the rule to start with:
wait_for_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Qiskit IBM Transpiler MCP Server, apply this rule, and every wait_for_training_tool call is checked against it from then on.
Questions about wait_for_training_tool
wait_for_training_tool is a execute tool on the Qiskit IBM Transpiler MCP Server MCP server. It is categorised as a Execute tool in the Qiskit IBM Transpiler MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Qiskit IBM Transpiler MCP Server MCP server in PolicyLayer and add a rule for wait_for_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 IBM Transpiler MCP Server. Nothing to install.
wait_for_training_tool is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the wait_for_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.
Set action: deny in the PolicyLayer policy for wait_for_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.
wait_for_training_tool is provided by the Qiskit IBM Transpiler MCP Server MCP server (qiskit-ibm-transpiler-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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