Fetch recent tweets from a user's timeline.
AI agents call get_user_tweets to retrieve information from Twitter MCP Tool 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 or authorized tweet data without creating, modifying, deleting, or executing any operations. It is a straightforward read/query operation with minimal risk if misused by an AI agent, as it only fetches existing information.
From the tool's definition Tool description states 'Fetch recent tweets from a user's timeline' - a pure retrieval operation with no side effects or data modification.
Attacks that exploit this kind of access
Fetch recent tweets from a user's timeline. It is categorised as a Read tool in the Twitter MCP Tool MCP Server, which means it retrieves data without modifying state.
Register the Twitter MCP Tool MCP server in PolicyLayer and add a rule for get_user_tweets: 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 Twitter MCP Tool. Nothing to install.
get_user_tweets 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_tweets 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_tweets. 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_tweets is provided by the Twitter MCP Tool MCP server (jalaj-pandey/twitter-mcp-tool). 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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