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blender_training_run_command

Execute a predefined MCP command from an exercise. Directly performs operations in Blender to help learners understand tool usage.

SERVERWISE-Agent SOURCEqwzx4893-stack/WISE-Agent
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/wise-agent/blender-training-run-command.md

What blender_training_run_command does on WISE-Agent

AI agents invoke blender_training_run_command to trigger actions in WISE-Agent. 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.

Why blender_training_run_command is rated High

blender_training_run_command triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Questions about blender_training_run_command

What does the blender_training_run_command tool do? +

Execute a predefined MCP command from an exercise. Directly performs operations in Blender to help learners understand tool usage. It is categorised as a Execute tool in the WISE-Agent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on blender_training_run_command? +

Register the WISE-Agent MCP server in PolicyLayer and add a rule for blender_training_run_command: 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 WISE-Agent. Nothing to install.

What risk level is blender_training_run_command? +

blender_training_run_command is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit blender_training_run_command? +

Yes. Add a rate_limit block to the blender_training_run_command 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.

How do I block blender_training_run_command completely? +

Set action: deny in the PolicyLayer policy for blender_training_run_command. 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.

What MCP server provides blender_training_run_command? +

blender_training_run_command is provided by the WISE-Agent MCP server (qwzx4893-stack/WISE-Agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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