Use this when you need to find tweets about a topic, brand, event, or keyword. Returns up to 20 recent tweets matching the query with full text, engagement metrics, author info, and timestamps. 1. query: the search term used 2. results: array of tweet objects 3. Each tweet contains: id, text, aut...
Risk signalsAccepts freeform code/query input (query)
Part of the Twitter Scraper API server.
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AI agents call twitter_search_tweets to retrieve information from Twitter Scraper API without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though twitter_search_tweets only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"twitter_search_tweets": {}
}
} See the full Twitter Scraper API policy for all 3 tools.
These attack patterns abuse exactly the kind of access twitter_search_tweets gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Use this when you need to find tweets about a topic, brand, event, or keyword. Returns up to 20 recent tweets matching the query with full text, engagement metrics, author info, and timestamps. 1. query: the search term used 2. results: array of tweet objects 3. Each tweet contains: id, text, author (username + displayName), createdAt, likes, retweets, replies, views, url 4. resultCount: number of tweets found Example output: { "query": "x402 protocol", "resultCount": 15, "results": [{ "id": "1234567890", "text": "x402 is the future of agent payments...", "author": { "username": "web3dev", "displayName": "Web3 Dev" }, "likes": 42, "retweets": 12, "replies": 5, "views": 1200, "createdAt": "2026-04-13T09:30:00Z" }] } Use this FOR market sentiment analysis, brand monitoring, competitor tracking, news discovery, trend detection, or finding what people say about a topic in real-time. Do NOT use for profile data -- use twitter_scrape_profile instead. Do NOT use for web search (non-Twitter) -- use web_search_query instead. Do NOT use for sentiment analysis of text -- use text_analyze_sentiment instead. Do NOT use for crypto news -- use crypto_get_news instead.. It is categorised as a Read tool in the Twitter Scraper API MCP Server, which means it retrieves data without modifying state.
Register the Twitter Scraper API MCP server in PolicyLayer and add a rule for twitter_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 Twitter Scraper API. Nothing to install.
twitter_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 twitter_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 twitter_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.
twitter_search_tweets is provided by the Twitter Scraper API MCP server (https://twitter-scraper.api.klymax402.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 3 Twitter Scraper API tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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