Get Bilibili user's following list.
AI agents call get_bilibili_following_list 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 existing personal data (a user's following list on Bilibili) without creating, modifying, deleting, or executing any operations. It has no side effects beyond reading. Severity is low because exposure of a following list, while personal, does not enable financial transactions, code execution, or data destruction.
From the tool's definition Tool name 'get_bilibili_following_list' and description 'Get Bilibili user's following list' indicate data retrieval with no modification. The action is a simple query that returns a list of accounts the user follows.
Documented attack patterns abuse exactly the kind of access get_bilibili_following_list 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_following_list:
{
"version": "1",
"default": "deny",
"tools": {
"get_bilibili_following_list": {}
}
}get_bilibili_following_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get Bilibili user's following list. 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_following_list: 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_following_list 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_following_list 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_following_list. 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_following_list 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.