Check available time slots for a specific service at a business. All datetimes are in UTC.
Part of the Teres — Booking for AI Agents server.
Free to start. No card required.
AI agents call get_availability to retrieve information from Teres — Booking for AI Agents without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though get_availability only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"get_availability": {}
}
}See the full Teres — Booking for AI Agents policy for all 10 tools.
These attack patterns abuse exactly the kind of access get_availability gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Check available time slots for a specific service at a business. All datetimes are in UTC.. It is categorised as a Read tool in the Teres — Booking for AI Agents MCP Server, which means it retrieves data without modifying state.
Register the Teres — Booking for AI Agents MCP server in PolicyLayer and add a rule for get_availability: 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 Teres — Booking for AI Agents. Nothing to install.
get_availability is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_availability 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 get_availability. 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.
get_availability is provided by the Teres — Booking for AI Agents MCP server (https://api.teres.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 10 Teres — Booking for AI Agents tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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