Medium Risk

save_to_planner

Create a trip plan and save it directly to the 1trip web planner. Returns a shareable URL the user can open to view, edit, and customize their trip. IMPORTANT: When presenting results to the user, do NOT show raw JSON. Instead, present a beautiful summary of the trip with cities, dates, nights, e...

Part of the Pulse server.

save_to_planner can modify Pulse 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 save_to_planner to create or modify resources in Pulse. 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 save_to_planner 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 Pulse.

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

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

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These attack patterns abuse exactly the kind of access save_to_planner 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 save_to_planner 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 save_to_planner tool do? +

Create a trip plan and save it directly to the 1trip web planner. Returns a shareable URL the user can open to view, edit, and customize their trip. IMPORTANT: When presenting results to the user, do NOT show raw JSON. Instead, present a beautiful summary of the trip with cities, dates, nights, estimated budget, and a clear call-to-action link to open/edit the trip in 1trip.app. Always end with the planner link.. It is categorised as a Write tool in the Pulse MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_to_planner? +

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

What risk level is save_to_planner? +

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

Can I rate-limit save_to_planner? +

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

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

save_to_planner is provided by the Pulse MCP server (onetrip/pulse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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