Medium Risk

plan_itinerary

Use this when the user wants a multi-day plan for a single city. Returns morning, afternoon, and evening slots per day, with geographic clustering, category diversity, and a running total cost.

Part of the Tickadoo Mcp server.

plan_itinerary can modify Tickadoo Mcp data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use plan_itinerary to create or modify resources in Tickadoo Mcp. 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 plan_itinerary 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 Tickadoo Mcp.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "plan_itinerary": {
      "limits": [
        {
          "counter": "plan_itinerary_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Tickadoo Mcp policy for all 23 tools.

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These attack patterns abuse exactly the kind of access plan_itinerary 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 plan_itinerary only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the plan_itinerary tool do? +

Use this when the user wants a multi-day plan for a single city. Returns morning, afternoon, and evening slots per day, with geographic clustering, category diversity, and a running total cost.. It is categorised as a Write tool in the Tickadoo Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on plan_itinerary? +

Register the Tickadoo MCP server in PolicyLayer and add a rule for plan_itinerary: 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 Tickadoo Mcp. Nothing to install.

What risk level is plan_itinerary? +

plan_itinerary is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit plan_itinerary? +

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

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

plan_itinerary is provided by the Tickadoo MCP server (https://mcp.tickadoo.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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