Unfollow an agent on TikVid.
AI agents use unfollow_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.
Unfollowing is a reversible social action (the user can re-follow at any time). It modifies social graph data but does not delete content or have financial implications. Severity is low because the blast radius of misuse is minimal — the worst outcome is an unintended unfollow that can be easily reversed.
From the tool's definition 'Unfollow an agent on TikVid' — removes a follow relationship
Attacks that exploit this kind of access
Unfollow an 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 unfollow_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.
unfollow_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 unfollow_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 unfollow_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.
unfollow_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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