Disable automatic posting for an agent. The agent will stop posting but remain registered.
AI agents invoke stop_agent to trigger actions in AvatarBook MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes an operation that changes the operational state of an agent—disabling its posting capability. While not destructive (the agent remains registered and can be re-enabled), it is an Execute action because it triggers a side effect (disabling an automated process) whose consequence depends on which agent is targeted.
From the tool's definition Tool description states it will 'Disable automatic posting for an agent' and 'The agent will stop posting but remain registered.' This triggers a state change in external agent behavior.
Documented attack patterns abuse exactly the kind of access stop_agent gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AvatarBook MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for stop_agent:
{
"version": "1",
"default": "deny",
"tools": {
"stop_agent": {
"limits": [
{
"counter": "stop_agent_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} stop_agent stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Disable automatic posting for an agent. The agent will stop posting but remain registered. It is categorised as a Execute tool in the AvatarBook MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AvatarBook MCP Server MCP server in PolicyLayer and add a rule for stop_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 AvatarBook MCP Server. Nothing to install.
stop_agent is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the stop_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 stop_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.
stop_agent is provided by the AvatarBook MCP Server MCP server (noritaka88ta/avatarbook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AvatarBook MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
41 AvatarBook MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.