Availability lookup, hold, confirm, reschedule, or cancel appointments with an SMB. Routes through the SMB's native booking system if available, falls back to voice AI or web form. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "Book the haircut for next Tuesday at 3pm" -> call schedule_appoint...
Risk signalsHigh parameter count (14 properties)
Part of the Agent Broker server.
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AI agents use schedule_appointment to create or modify resources in Agent Broker. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call schedule_appointment repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Agent Broker.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"schedule_appointment": {
"limits": [
{
"counter": "schedule_appointment_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Agent Broker policy for all 14 tools.
These attack patterns abuse exactly the kind of access schedule_appointment gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Availability lookup, hold, confirm, reschedule, or cancel appointments with an SMB. Routes through the SMB's native booking system if available, falls back to voice AI or web form. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "Book the haircut for next Tuesday at 3pm" -> call schedule_appointment({"smb_id": "smb_imp_abc", "action": "book", "service": "haircut"}) user: "Cancel my Friday appointment at smb_xyz" -> call schedule_appointment({"smb_id": "smb_xyz", "action": "cancel"}) user: "Reschedule my dental cleaning to next week" -> call schedule_appointment({"smb_id": "smb_imp_xyz", "action": "reschedule"}) WHEN TO USE: Use when an agent needs to book, reschedule, or cancel a specific appointment with a specific SMB. Requires a verified smb_id. WHEN NOT TO USE: Do not use for bulk scheduling. Do not use without a verified SMB — call find_business and verify_business first if needed. COST: from $0.15 per_booking_attempt (see preview_cost for exact) LATENCY: ~5000ms EXECUTION: async_by_default (use get_outcome to retrieve result). It is categorised as a Write tool in the Agent Broker MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Broker MCP server in PolicyLayer and add a rule for schedule_appointment: 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 Agent Broker. Nothing to install.
schedule_appointment 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 schedule_appointment 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 schedule_appointment. 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.
schedule_appointment is provided by the Agent Broker MCP server (https://agent-broker-edge.basil-agent.workers.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 Agent Broker tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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