Execute Python/Workbench journal code inside the running Workbench bridge.
AI agents invoke execute_workbench_script to trigger actions in Ansys Workbench. 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.
This tool directly executes arbitrary code within the Ansys Workbench environment, which can trigger external operations, modify simulations, access file systems, and generate results whose effects depend entirely on the injected code arguments.
From the tool's definition Tool description explicitly states it executes 'Python/Workbench journal code' with arbitrary script content capability. The method accepts custom code execution without apparent input sanitization constraints.
Documented attack patterns abuse exactly the kind of access execute_workbench_script gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ansys Workbench, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_workbench_script:
{
"version": "1",
"default": "deny",
"tools": {
"execute_workbench_script": {
"limits": [
{
"counter": "execute_workbench_script_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} execute_workbench_script 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.
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Execute Python/Workbench journal code inside the running Workbench bridge. It is categorised as a Execute tool in the Ansys Workbench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ansys Workbench MCP server in PolicyLayer and add a rule for execute_workbench_script: 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 Ansys Workbench. Nothing to install.
execute_workbench_script 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 execute_workbench_script 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 execute_workbench_script. 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.
execute_workbench_script is provided by the Ansys Workbench MCP server (hongwenwang36-eng/ansys-workbench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ansys Workbench, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
29 Ansys Workbench tools catalogued and risk-classified — across an index of 43,000+ MCP servers.