Low Risk

preview_slot

Get a shareable booking page URL for a slot. Returns a link the user can open in their browser to see full details and complete the booking themselves. Use this instead of book_slot when the user is a human who will pay directly — they enter their own name, email, and phone on the page and pay vi...

Part of the Last_Minute_Deals_HQ server.

preview_slot 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 preview_slot to retrieve information from Last_Minute_Deals_HQ 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 preview_slot 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": {
    "preview_slot": {}
  }
}

See the full Last_Minute_Deals_HQ policy for all 6 tools.

Get this rule live on your own Last_Minute_Deals_HQ 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 preview_slot gives an agent. Each links to the full case and the policy that stops it:

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

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

What does the preview_slot tool do? +

Get a shareable booking page URL for a slot. Returns a link the user can open in their browser to see full details and complete the booking themselves. Use this instead of book_slot when the user is a human who will pay directly — they enter their own name, email, and phone on the page and pay via Stripe. No need to collect customer details yourself.. It is categorised as a Read tool in the Last_Minute_Deals_HQ MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on preview_slot? +

Register the Last_Minute_Deals_HQ MCP server in PolicyLayer and add a rule for preview_slot: 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 Last_Minute_Deals_HQ. Nothing to install.

What risk level is preview_slot? +

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

Can I rate-limit preview_slot? +

Yes. Add a rate_limit block to the preview_slot 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 preview_slot completely? +

Set action: deny in the PolicyLayer policy for preview_slot. 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 preview_slot? +

preview_slot is provided by the Last_Minute_Deals_HQ MCP server (johnanleitner1/Last_Minute_Deals_HQ). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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