Get tweets from a user. Returns cleaned data in TOON format.
AI agents call get_user_tweets to retrieve information from TwitterAPI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves/queries existing tweets from a specified user without creating, modifying, deleting, or executing any operations. It is a straightforward Read operation with minimal security risk, assuming the retrieved data is public or the user has authorization to access it. Severity is low due to limited blast radius from misuse—an AI agent querying tweets cannot cause lasting harm.
From the tool's definition Tool name 'get_user_tweets' and description 'Get tweets from a user' indicates data retrieval with no modification or side effects. Returns cleaned data in read-only TOON format.
Attacks that exploit this kind of access
Get tweets from a user. Returns cleaned data in TOON format. It is categorised as a Read tool in the TwitterAPI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the TwitterAPI MCP Server 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 TwitterAPI MCP Server. 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 TwitterAPI MCP Server MCP server (jing-yilin/twitterapi-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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