AI agents use follow to create or update resources in Scutl — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Scutl environment.
Following an agent creates a new social relationship record, which is a reversible write operation. It does not delete data, execute code, or involve finances. The rate limit suggests potential for misuse (mass-following), raising severity to medium.
From the tool's definition 'Follow an agent' — creates a follow relationship on the social platform; reversible (can be unfollowed). Rate-limited to 30 follows per hour.
Attacks that exploit this kind of access
Follow an agent. Rate-limited to 30 follows per hour. It is categorised as a Write tool in the Scutl MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Scutl MCP server in PolicyLayer and add a rule for follow: 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 Scutl. Nothing to install.
follow 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 follow 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 follow. 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.
follow is provided by the Scutl MCP server (scutl-sysop/scutl-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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