create_data_visualization
Build a data-driven visualization: a data source feeds a CHOP that drives a chart TOP. Creates a new baseCOMP under
This record as markdown: /tools/io-github-pantani-tdmcp/create-data-visualization.md
What create_data_visualization does on tdmcp — TouchDesigner MCP server
AI agents use create_data_visualization to create or update resources in tdmcp — TouchDesigner MCP server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your tdmcp — TouchDesigner MCP server environment.
Why create_data_visualization is rated Medium
This tool creates new components (baseCOMP) and wires up a data pipeline (data source → CHOP → chart TOP) within a TouchDesigner project. It is a Write operation — it adds new structures to the project reversibly, without executing arbitrary code, deleting data, or involving financial transactions. Misuse could clutter or corrupt the project network but effects are reversible.
From the tool's definition 'Build a data-driven visualization', 'Creates a new baseCOMP under' — the tool creates new nodes/components in the TouchDesigner project
Attacks that exploit this kind of access
The rule that runs create_data_visualization safely
PolicyLayer is an MCP gateway: it sits between your AI agents and tdmcp — TouchDesigner MCP server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_data_visualization, this is the rule to start with:
create_data_visualization 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.
The button opens the PolicyLayer dashboard: create your workspace, connect tdmcp — TouchDesigner MCP server, apply this rule, and every create_data_visualization call is checked against it from then on.
Questions about create_data_visualization
Build a data-driven visualization: a data source feeds a CHOP that drives a chart TOP. Creates a new baseCOMP under. It is categorised as a Write tool in the tdmcp — TouchDesigner MCP server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the tdmcp — TouchDesigner MCP server MCP server in PolicyLayer and add a rule for create_data_visualization: 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 tdmcp — TouchDesigner MCP server. Nothing to install.
create_data_visualization is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_data_visualization 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 create_data_visualization. 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.
create_data_visualization is provided by the tdmcp — TouchDesigner MCP server MCP server (@dpantani/tdmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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