Apply an impulse force to a physics object
AI agents invoke apply_impulse to trigger actions in Threlte. 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.
Applying an impulse modifies the runtime state of a physics simulation in real-time. It is not a simple data write (it triggers physics engine computations and cascading effects), nor is it destructive in an irreversible data-loss sense. It fits Execute because it causes an external operation in the 3D scene whose outcome depends on the impulse vector and target object arguments.
From the tool's definition 'Apply an impulse force to a physics object' — triggers an external operation (physics simulation state change) whose effect depends on arguments
Documented attack patterns abuse exactly the kind of access apply_impulse gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Threlte, and nothing reaches the server without passing your rules. This is the rule we recommend for apply_impulse:
{
"version": "1",
"default": "deny",
"tools": {
"apply_impulse": {
"limits": [
{
"counter": "apply_impulse_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}apply_impulse stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Apply an impulse force to a physics object. It is categorised as a Execute tool in the Threlte MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Threlte MCP server in PolicyLayer and add a rule for apply_impulse: 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 Threlte. Nothing to install.
apply_impulse 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 apply_impulse 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 apply_impulse. 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.
apply_impulse is provided by the Threlte MCP server (serifeusstudio/threlte-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Threlte, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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