Get videos uploaded by a Bilibili user.
AI agents call get_bilibili_user_videos 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 video information from Bilibili, a read-only operation with no side effects. While it accesses personal data (videos from a user's channel), the operation itself is non-destructive and non-modifying. The severity is low because retrieving publicly uploadable video metadata poses minimal risk even if misused by an AI agent—it merely returns data without enabling harmful actions.
From the tool's definition Tool name is 'get_bilibili_user_videos' and description states 'Get videos uploaded by a Bilibili user' — this is a retrieval operation that queries publicly available video metadata without modification, deletion, or execution of external code.
Documented attack patterns abuse exactly the kind of access get_bilibili_user_videos 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_bilibili_user_videos:
{
"version": "1",
"default": "deny",
"tools": {
"get_bilibili_user_videos": {}
}
}get_bilibili_user_videos is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get videos uploaded by a Bilibili user. 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_bilibili_user_videos: 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_bilibili_user_videos 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_bilibili_user_videos 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_bilibili_user_videos. 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_bilibili_user_videos 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.