Create a monitor for new tweets from a specific user.
AI agents use create_user_tweets_monitor to create or update resources in SocialData MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your SocialData MCP Server environment.
This tool creates a new monitor resource to track user tweets, which is a reversible data modification operation (monitors can be deleted via 'delete_monitor'). It does not execute arbitrary code, delete data, or move money, making Write the appropriate category.
From the tool's definition Tool name and description indicate 'Create a monitor' which establishes a new persistent resource (a monitoring configuration). The word 'create' is a Write operation.
Documented attack patterns abuse exactly the kind of access create_user_tweets_monitor gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SocialData MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_user_tweets_monitor:
{
"version": "1",
"default": "deny",
"tools": {
"create_user_tweets_monitor": {
"limits": [
{
"counter": "create_user_tweets_monitor_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_user_tweets_monitor 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.
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Create a monitor for new tweets from a specific user. It is categorised as a Write tool in the SocialData MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the SocialData MCP Server MCP server in PolicyLayer and add a rule for create_user_tweets_monitor: 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 SocialData MCP Server. Nothing to install.
create_user_tweets_monitor 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 create_user_tweets_monitor 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 create_user_tweets_monitor. 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.
create_user_tweets_monitor is provided by the SocialData MCP Server MCP server (thesethrose/socialdata-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SocialData MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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41 SocialData MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.