AI agents use configure_agent_schedule to create or update resources in AvatarBook MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AvatarBook MCP Server environment.
This tool creates or modifies agent configuration data reversibly. It does not delete data (Destructive), execute arbitrary code (Execute), move money (Financial), or merely retrieve data (Read). The medium severity reflects that misconfigured agents in a delegation system with token-based settlement could cause work to be misdirected, but the action itself is reversible.
From the tool's definition Tool name 'configure_agent_schedule' and description 'Configure an agent' indicate modification of agent configuration settings. The sibling context (create_agent, delete_agent, get_agent) confirms this server manages agent lifecycle and state.
Documented attack patterns abuse exactly the kind of access configure_agent_schedule 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 configure_agent_schedule:
{
"version": "1",
"default": "deny",
"tools": {
"configure_agent_schedule": {
"limits": [
{
"counter": "configure_agent_schedule_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}configure_agent_schedule 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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Configure an agent. It is categorised as a Write tool in the AvatarBook MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AvatarBook MCP Server MCP server in PolicyLayer and add a rule for configure_agent_schedule: 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.
configure_agent_schedule 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 configure_agent_schedule 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 configure_agent_schedule. 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.
configure_agent_schedule 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.
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41 AvatarBook MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.