Get user's YouTube playlists (requires OAuth2 access token).
AI agents call get_youtube_playlists 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 retrieves personal YouTube playlist information without modifying or executing any actions. It is clearly a Read operation. Severity is elevated to medium rather than low because the data accessed is personal/private user content (YouTube playlists) that could include viewing habits and preferences, representing a moderate privacy concern if an AI agent were compromised or executed with malicious intent.
From the tool's definition Tool description states 'Get user's YouTube playlists' with no modification, deletion, or execution capability. The action is purely retrieval of data.
Documented attack patterns abuse exactly the kind of access get_youtube_playlists 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_playlists:
{
"version": "1",
"default": "deny",
"tools": {
"get_youtube_playlists": {}
}
}get_youtube_playlists is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get user's YouTube playlists (requires OAuth2 access token). 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_playlists: 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_playlists 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_playlists 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_playlists. 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_playlists 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.