Export Zendesk tickets using cursor-based pagination with NO 1000-result limit. Use this instead of search_zendesk_tickets when you need MORE than 1000 results, such as bulk exports or comprehensive data analysis. Uses the Zendesk Search Export API (/search/export.json) which supports unlimited r...
AI agents call export_zendesk_tickets to retrieve information from Apple Shortcuts without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves/queries ticket data from Zendesk and optionally writes results to a local file. The primary action is reading data (export/search). The file write side-effect (save_to_file) is a local artifact, not a modification to external systems. The most severe applicable category is Read, though the ability to export potentially large volumes of sensitive support ticket data elevates severity to medium.
From the tool's definition Export Zendesk tickets using cursor-based pagination with NO 1000-result limit... Uses the Zendesk Search Export API (/search/export.json) which supports unlimited results via cursor-based pagination. Auto-paginates through all matching results.
Documented attack patterns abuse exactly the kind of access export_zendesk_tickets gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Apple Shortcuts, and nothing reaches the server without passing your rules. This is the rule we recommend for export_zendesk_tickets:
{
"version": "1",
"default": "deny",
"tools": {
"export_zendesk_tickets": {}
}
}export_zendesk_tickets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Export Zendesk tickets using cursor-based pagination with NO 1000-result limit. Use this instead of search_zendesk_tickets when you need MORE than 1000 results, such as bulk exports or comprehensive data analysis. Uses the Zendesk Search Export API (/search/export.json) which supports unlimited results via cursor-based pagination. Auto-paginates through all matching results. For bulk analysis (>100 tickets), use save_to_file=true to write results to a JSON file instead of returning them in the conversation. This avoids context overflow and enables processing thousands of tickets via scripts (grep, jq, Node.js). IMPORTANT: Exports with more than 500 results REQUIRE save_to_file=true. The tool will reject large in-context exports to prevent context overflow. Key differences from search_zendesk_tickets: - No 1000-result ceiling (search_zendesk_tickets is capped at 1000) - Always auto-paginates (no manual page parameter) - Results are always sorted by created_at (no custom sort options) - Slightly higher latency per page due to cursor overhead - Has a safety cap (max_results, default 10000) to prevent runaway pagination Query syntax is the same as search_zendesk_tickets (e.g.,. It is categorised as a Read tool in the Apple Shortcuts MCP Server, which means it retrieves data without modifying state.
Register the Apple Shortcuts MCP server in PolicyLayer and add a rule for export_zendesk_tickets: 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 Apple Shortcuts. Nothing to install.
export_zendesk_tickets is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the export_zendesk_tickets 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.
Set action: deny in the PolicyLayer policy for export_zendesk_tickets. 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.
export_zendesk_tickets is provided by the Apple Shortcuts MCP server (@mindstone/mcp-server-apple-shortcuts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Apple Shortcuts, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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