optimize_performance
Scan a network for cook-time bottlenecks and report the slowest nodes with concrete suggestions. By default
This record as markdown: /tools/io-github-pantani-tdmcp/optimize-performance.md
What optimize_performance does on tdmcp — TouchDesigner MCP server
AI agents call optimize_performance to retrieve information from tdmcp — TouchDesigner MCP server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why optimize_performance is rated Low
The tool scans and reports performance data without modifying, executing, or deleting anything. It is a diagnostic/read operation that identifies bottlenecks and provides suggestions, but does not apply changes itself.
From the tool's definition 'Scan a network for cook-time bottlenecks and report the slowest nodes with concrete suggestions'
Attacks that exploit this kind of access
The rule that runs optimize_performance 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 optimize_performance, this is the rule to start with:
optimize_performance is read-only, so it stays allowed. 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 optimize_performance call is checked against it from then on.
Questions about optimize_performance
Scan a network for cook-time bottlenecks and report the slowest nodes with concrete suggestions. By default. It is categorised as a Read tool in the tdmcp — TouchDesigner MCP server MCP Server, which means it retrieves data without modifying state.
Register the tdmcp — TouchDesigner MCP server MCP server in PolicyLayer and add a rule for optimize_performance: 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.
optimize_performance 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 optimize_performance 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 optimize_performance. 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.
optimize_performance 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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