Low Risk

book_garage_door

Book a garage door technician for broken springs, off-track doors, opener failures, or new garage door installation. Returns a confirmed booking. Call /quote first.

Risk signalsHigh parameter count (10 properties)

Part of the Sunrays — Local Service Booking server.

book_garage_door is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call book_garage_door to retrieve information from Sunrays — Local Service Booking 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 book_garage_door 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "book_garage_door": {}
  }
}

See the full Sunrays — Local Service Booking policy for all 11 tools.

Get this rule live on your own Sunrays — Local Service Booking server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access book_garage_door gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so book_garage_door only ever does what you allow.

SECURE SUNRAYS — LOCAL SERVICE BOOKING →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the book_garage_door tool do? +

Book a garage door technician for broken springs, off-track doors, opener failures, or new garage door installation. Returns a confirmed booking. Call /quote first.. It is categorised as a Read tool in the Sunrays — Local Service Booking MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on book_garage_door? +

Register the Sunrays — Local Service Booking MCP server in PolicyLayer and add a rule for book_garage_door: 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 Sunrays — Local Service Booking. Nothing to install.

What risk level is book_garage_door? +

book_garage_door is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit book_garage_door? +

Yes. Add a rate_limit block to the book_garage_door 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.

How do I block book_garage_door completely? +

Set action: deny in the PolicyLayer policy for book_garage_door. 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.

What MCP server provides book_garage_door? +

book_garage_door is provided by the Sunrays — Local Service Booking MCP server (https://mcp.sunrays.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Sunrays — Local Service Booking tool call.

Deterministic rules across all 11 Sunrays — Local Service Booking tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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