AI agents call get_avatar_name to retrieve information from VRChat MCP OSC without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns the name of the currently active avatar. It performs no modifications, deletions, executions, or financial operations. The action is a simple read/retrieval of immutable state information about the user's avatar, making it a Read category tool with low severity and minimal risk if misused by an AI agent.
From the tool's definition Tool name 'get_avatar_name' and description 'Get the name of the current avatar' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_avatar_name gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and VRChat MCP OSC, and nothing reaches the server without passing your rules. This is the rule we recommend for get_avatar_name:
{
"version": "1",
"default": "deny",
"tools": {
"get_avatar_name": {}
}
} get_avatar_name is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the name of the current avatar. It is categorised as a Read tool in the VRChat MCP OSC MCP Server, which means it retrieves data without modifying state.
Register the VRChat MCP OSC MCP server in PolicyLayer and add a rule for get_avatar_name: 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 VRChat MCP OSC. Nothing to install.
get_avatar_name is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_avatar_name 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 get_avatar_name. 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.
get_avatar_name is provided by the VRChat MCP OSC MCP server (krekun/vrchat-mcp-osc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from VRChat MCP OSC, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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12 VRChat MCP OSC tools catalogued and risk-classified — across an index of 43,000+ MCP servers.