Get a user's profile metadata by screen name OR numeric user ID.
AI agents call get_user_info to retrieve information from Twikit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves publicly available user profile information. It is a read-only operation that queries data without creating, modifying, or deleting anything. The severity is low because misuse would only result in unauthorized data access, not system compromise or data loss. The confidence is high because the description is explicit about the retrieval nature of the operation.
From the tool's definition Tool name is 'get_user_info' and description states it retrieves 'a user's profile metadata' with no mention of modification, deletion, or side effects.
Documented attack patterns abuse exactly the kind of access get_user_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Twikit, and nothing reaches the server without passing your rules. This is the rule we recommend for get_user_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_user_info": {}
}
}get_user_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a user's profile metadata by screen name OR numeric user ID. It is categorised as a Read tool in the Twikit MCP Server, which means it retrieves data without modifying state.
Register the Twikit MCP server in PolicyLayer and add a rule for get_user_info: 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 Twikit. Nothing to install.
get_user_info 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_user_info 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_user_info. 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_user_info is provided by the Twikit MCP server (tangivis/twitter-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Twikit, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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59 Twikit tools catalogued and risk-classified — across an index of 43,000+ MCP servers.