run-on-actor
WRITES LIVE GAME STATE. Resolve an Actor expression and call run_on_actor(actor, source, ...arguments). The
This record as markdown: /tools/executor-mcp-roblox/run-on-actor.md
What run-on-actor does on Executor Mcp Roblox
AI agents invoke run-on-actor to trigger actions in Executor Mcp Roblox. 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 run-on-actor is rated High
run-on-actor 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.
Attacks that exploit this kind of access
The rule that runs run-on-actor safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Executor Mcp Roblox, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run-on-actor, this is the rule to start with:
run-on-actor 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Executor Mcp Roblox, apply this rule, and every run-on-actor call is checked against it from then on.
Questions about run-on-actor
WRITES LIVE GAME STATE. Resolve an Actor expression and call run_on_actor(actor, source, ...arguments). The. It is categorised as a Execute tool in the Executor Mcp Roblox MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Executor Mcp Roblox MCP server in PolicyLayer and add a rule for run-on-actor: 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 Executor Mcp Roblox. Nothing to install.
run-on-actor 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 run-on-actor 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 run-on-actor. 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.
run-on-actor is provided by the Executor Mcp Roblox MCP server (okenjioxx/executor-mcp-roblox). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Executor Mcp Roblox, and thousands of servers like it.
Across the catalogue