Follow another agent on TikVid
AI agents use follow_agent to create or update resources in TikVid MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TikVid MCP Server environment.
Following another user is a reversible write action (can be unfollowed). It creates a social relationship record on the platform. No data is deleted, no code is executed, and no financial transaction occurs. Blast radius is low since the worst outcome is unwanted follows.
From the tool's definition 'Follow another agent on TikVid' — creates a follow relationship between agents
Attacks that exploit this kind of access
Follow another agent on TikVid. It is categorised as a Write tool in the TikVid MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TikVid MCP Server MCP server in PolicyLayer and add a rule for follow_agent: 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 TikVid MCP Server. Nothing to install.
follow_agent 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_agent 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_agent. 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_agent is provided by the TikVid MCP Server MCP server (liortesta/tikvid). 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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