AI agents call get_youtube_token_status to retrieve information from PersonalizationMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves token status information without making changes to data, executing code, or triggering external operations. It is purely informational, making it a Read operation. Severity is low because token status information itself poses minimal risk compared to other data access or operations on this platform.
From the tool's definition Tool name 'get_youtube_token_status' and description '获取YouTube令牌状态信息' (Get YouTube token status information) indicates retrieval of token metadata/status. No modification, execution, or deletion is described. Returns status information only.
Documented attack patterns abuse exactly the kind of access get_youtube_token_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PersonalizationMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_youtube_token_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_youtube_token_status": {}
}
}get_youtube_token_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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获取YouTube令牌状态信息. It is categorised as a Read tool in the PersonalizationMCP MCP Server, which means it retrieves data without modifying state.
Register the Personalization MCP server in PolicyLayer and add a rule for get_youtube_token_status: 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 PersonalizationMCP. Nothing to install.
get_youtube_token_status 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_youtube_token_status 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_youtube_token_status. 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_youtube_token_status is provided by the Personalization MCP server (yangliangwei/personalizationmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 88 PersonalizationMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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88 PersonalizationMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.