AI agents invoke fire_remote to trigger actions in Dex. 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.
This tool triggers external operations by firing a RemoteEvent to the server with arbitrary arguments. The effects depend entirely on what the server-side handler does — it could modify game state, trigger purchases, affect other players, or cause irreversible changes.
From the tool's definition Fire a RemoteEvent (FireServer) with the given arguments
Attacks that exploit this kind of access
Fire a RemoteEvent (FireServer) with the given arguments. It is categorised as a Execute tool in the Dex MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Dex MCP server in PolicyLayer and add a rule for fire_remote: 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 Dex. Nothing to install.
fire_remote 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 fire_remote 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 fire_remote. 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.
fire_remote is provided by the Dex MCP server (sanztheo/dex-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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