AI agents call get_user_mentions to retrieve information from X(Twitter) V2 MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'get_' prefix and 'mentions' context indicate a data retrieval operation with no side effects. Retrieving user mentions does not modify, execute code, delete data, or involve financial transactions. Confidence is slightly reduced (0.85 rather than higher) due to the empty description, but the tool name and server context provide sufficient clarity.
From the tool's definition Tool name 'get_user_mentions' indicates a retrieval operation that fetches mention data for a user. Server description states the tool enables AI assistants to 'retrieve tweets' and similar read-only operations.
Documented attack patterns abuse exactly the kind of access get_user_mentions gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and X(Twitter) V2 MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_user_mentions:
{
"version": "1",
"default": "deny",
"tools": {
"get_user_mentions": {}
}
}get_user_mentions 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_mentions. It is categorised as a Read tool in the X(Twitter) V2 MCP Server MCP Server, which means it retrieves data without modifying state.
Register the X(Twitter) V2 MCP Server MCP server in PolicyLayer and add a rule for get_user_mentions: 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 X(Twitter) V2 MCP Server. Nothing to install.
get_user_mentions 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_mentions 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_mentions. 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_mentions is provided by the X(Twitter) V2 MCP Server MCP server (nexusx-mcp/x-v2-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from X(Twitter) V2 MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
16 X(Twitter) V2 MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.