export_map_favorites

Export favorites as a GPX file to the user

SERVERAIquila — Nextcloud MCP Server SOURCEelgorro/aiquila

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aiquila-nextcloud-mcp-server/export-map-favorites.md

WHAT IT DOES

What export_map_favorites does on AIquila — Nextcloud MCP Server

AI agents use export_map_favorites to create or update resources in AIquila — Nextcloud MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AIquila — Nextcloud MCP Server environment.

RISK

Why export_map_favorites is rated Medium

The tool generates and exports data (favorites to GPX format), which constitutes a write/create operation. It has no destructive impact (data is not deleted or overwritten), no financial implications, and does not execute arbitrary code. The blast radius is minimal—an AI agent misusing this tool would at worst export a user's map favorites unnecessarily, which is low-severity and easily recoverable.

From the tool's definition Tool 'export_map_favorites' exports user favorites as a GPX file. The action creates/generates an output file (GPX format) which is a write operation, though reversible and non-destructive.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs export_map_favorites safely

PolicyLayer is an MCP gateway: it sits between your AI agents and AIquila — Nextcloud MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For export_map_favorites, this is the rule to start with:

export_map_favorites Rate-limited

export_map_favorites stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "export_map_favorites": {
      "limits": [
        {
          "counter": "export_map_favorites_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AIquila — Nextcloud MCP Server, apply this rule, and every export_map_favorites call is checked against it from then on.

FAQ

Questions about export_map_favorites

What does the export_map_favorites tool do? +

Export favorites as a GPX file to the user. It is categorised as a Write tool in the AIquila — Nextcloud MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on export_map_favorites? +

Register the AIquila — Nextcloud MCP Server MCP server in PolicyLayer and add a rule for export_map_favorites: 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 AIquila — Nextcloud MCP Server. Nothing to install.

What risk level is export_map_favorites? +

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

Can I rate-limit export_map_favorites? +

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

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

export_map_favorites is provided by the AIquila — Nextcloud MCP Server MCP server (elgorro/aiquila). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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