AI agents call x_get_user_mentions to retrieve information from X without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves publicly available tweet data mentioning a user. It performs a query operation with no capability to modify, delete, or execute external operations. The blast radius of misuse is minimal—an agent could retrieve mentions excessively but cannot harm data or financial interests. This is a straightforward Read category tool.
From the tool's definition Tool name 'x_get_user_mentions' and description 'Get recent tweets mentioning a specific user' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get recent tweets mentioning a specific user. It is categorised as a Read tool in the X MCP Server, which means it retrieves data without modifying state.
Register the X MCP server in PolicyLayer and add a rule for x_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. Nothing to install.
x_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 x_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 x_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.
x_get_user_mentions is provided by the X MCP server (mindmadelab/x-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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