AI agents invoke td_execute to trigger actions in Td. 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 allows execution of Python code within TouchDesigner, which can trigger complex operations, manipulate the application state, access external resources, and cause side effects that depend on the code passed as arguments.
From the tool's definition Tool name is 'td_execute' and description states 'Execute Python code inside TouchDesigner.' This directly runs arbitrary code within TouchDesigner's runtime environment.
Attacks that exploit this kind of access
Execute Python code inside TouchDesigner. It is categorised as a Execute tool in the Td MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Td MCP server in PolicyLayer and add a rule for td_execute: 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 Td. Nothing to install.
td_execute 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 td_execute 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 td_execute. 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.
td_execute is provided by the Td MCP server (tai5863/td-mcp). 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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