Follow a Twitter user
AI agents use follow_user to create or update resources in Agent Twitter Client — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Twitter Client environment.
Following a user on Twitter is a reversible social action that modifies account state (adds a follow relationship). It is not destructive, financial, or an arbitrary code execution. It could be misused to mass-follow accounts, causing reputational or spam issues, hence medium severity.
From the tool's definition Follow a Twitter user
Attacks that exploit this kind of access
Follow a Twitter user. It is categorised as a Write tool in the Agent Twitter Client MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Twitter Client MCP server in PolicyLayer and add a rule for follow_user: 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 Agent Twitter Client. Nothing to install.
follow_user is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the follow_user 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 follow_user. 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.
follow_user is provided by the Agent Twitter Client MCP server (theo-nash/twitter-mcp-server). 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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