blender_performance_monitor
A other tool on the Blender MCP server.
This record as markdown: /tools/sandraschi-blender-mcp/blender-performance-monitor.md
What blender_performance_monitor does on Blender
AI agents call blender_performance_monitor as a supporting operation in Blender workflows.
Why blender_performance_monitor is rated Low
The name suggests monitoring/reading performance metrics, which would be a Read operation. However, with an empty description, there is insufficient information to confidently classify it. Monitoring tools typically only read data, so severity is low, but confidence is minimal.
From the tool's definition Tool name is 'blender_performance_monitor'; description is empty and uninformative.
Attacks that exploit this kind of access
The rule that runs blender_performance_monitor safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Blender, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For blender_performance_monitor, this is the rule to start with:
blender_performance_monitor gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Blender, apply this rule, and every blender_performance_monitor call is checked against it from then on.
Questions about blender_performance_monitor
blender_performance_monitor is a other tool on the Blender MCP server. It is categorised as a Other tool in the Blender MCP Server, which means it performs auxiliary operations.
Register the Blender MCP server in PolicyLayer and add a rule for blender_performance_monitor: 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 Blender. Nothing to install.
blender_performance_monitor is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the blender_performance_monitor 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 blender_performance_monitor. 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.
blender_performance_monitor is provided by the Blender MCP server (sandraschi/blender-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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