Tool that posts a tweet.
AI agents use post_tweet to create or update resources in Apex MCP for X Management — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Apex MCP for X Management environment.
Posting a tweet creates new data on a social media platform. While reversible (tweets can be deleted), it modifies the public record, has social/reputational implications, and could spread misinformation if misused by an AI agent. This is Write rather than Execute because it doesn't run arbitrary code or trigger unpredictable external operations—its effect is well-defined and limited to tweet creation.
From the tool's definition Tool name 'post_tweet' and description 'Tool that posts a tweet' indicate creation of new content on X (Twitter). This is a reversible write operation—tweets can be edited or deleted after posting.
Attacks that exploit this kind of access
Tool that posts a tweet. It is categorised as a Write tool in the Apex MCP for X Management MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Apex MCP for X Management MCP server in PolicyLayer and add a rule for post_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 Apex MCP for X Management. Nothing to install.
post_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 post_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 post_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.
post_tweet is provided by the Apex MCP for X Management MCP server (xonack/apex-mcp). 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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