Get users who liked a tweet (paginated).
AI agents call get_favoriters 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 retrieves a list of users who favorited/liked a tweet. It is a query operation that reads publicly available information about tweet engagement. There is no data creation, modification, deletion, code execution, or financial impact. The paginated retrieval of favoriter data is a standard Read operation with minimal risk if misused by an agent, as it only exposes public engagement metrics.
From the tool's definition Tool name 'get_favoriters' and description 'Get users who liked a tweet (paginated)' indicate retrieval of public engagement data without modification or side effects.
Documented attack patterns abuse exactly the kind of access get_favoriters 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_favoriters:
{
"version": "1",
"default": "deny",
"tools": {
"get_favoriters": {}
}
}get_favoriters is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get users who liked a tweet (paginated). 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_favoriters: 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_favoriters 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_favoriters 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_favoriters. 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_favoriters 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.