Bookmark a tweet. Optionally add it to a bookmark folder.
AI agents use bookmark_tweet to create or update resources in Twikit — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Twikit environment.
This tool creates or modifies user bookmark records, which is a reversible action. The user can unbookmark tweets or remove bookmarks from folders. While it affects user data, it does not delete, destroy, or execute code. The medium severity reflects that malicious use could spam bookmarks or manipulate a user's bookmark organization, but the impact is limited in scope and reversible.
From the tool's definition Tool description states 'Bookmark a tweet' and 'add it to a bookmark folder', indicating creation/modification of bookmark data structures.
Documented attack patterns abuse exactly the kind of access bookmark_tweet 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 bookmark_tweet:
{
"version": "1",
"default": "deny",
"tools": {
"bookmark_tweet": {
"limits": [
{
"counter": "bookmark_tweet_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}bookmark_tweet stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Bookmark a tweet. Optionally add it to a bookmark folder. It is categorised as a Write tool in the Twikit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Twikit MCP server in PolicyLayer and add a rule for bookmark_tweet: 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.
bookmark_tweet 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 bookmark_tweet 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 bookmark_tweet. 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.
bookmark_tweet 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.
Free to start. No card required.
59 Twikit tools catalogued and risk-classified — across an index of 43,000+ MCP servers.