AI agents call search_tweets to retrieve information from Twikit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Searching tweets retrieves public information without side effects. It does not create, modify, delete, or execute code. While the server interacts with Twitter/X and could theoretically retrieve sensitive user data, search_tweets itself is fundamentally a read operation. Severity is low because misuse primarily affects information disclosure rather than data integrity, financial impact, or system compromise.
From the tool's definition Tool name is 'search_tweets' and description states 'Search tweets' — a query operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access search_tweets gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Twikit, and nothing reaches the server without passing your rules. This is the rule we recommend for search_tweets:
{
"version": "1",
"default": "deny",
"tools": {
"search_tweets": {}
}
} search_tweets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search tweets. It is categorised as a Read tool in the Twikit MCP Server, which means it retrieves data without modifying state.
Register the Twikit MCP server in PolicyLayer and add a rule for search_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 Twikit. Nothing to install.
search_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 search_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 search_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.
search_tweets is provided by the Twikit MCP server (tangivis/twitter-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Twikit, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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59 Twikit tools catalogued and risk-classified — across an index of 43,000+ MCP servers.