List and search PandaDoc documents with filtering. Supports filtering by status, template, name/reference, tags, metadata, date ranges, and more. Returns compact summaries: id, name, status, dates. Status codes: 0=draft, 1=sent, 2=completed, 3=uploaded, 4=error, 5=viewed, 6=waiting_approval, 7=ap...
AI agents call list_documents 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 document information without creating, modifying, deleting, or executing any operations. The filtering parameters (status, template, name, tags, metadata, date ranges) are all read-only query criteria. No data is altered, deleted, or executed. The blast radius of misuse is minimal—an agent could retrieve sensitive document lists but cannot modify or execute actions.
From the tool's definition The tool 'list_documents' performs listing and searching of PandaDoc documents with filtering capabilities.
Documented attack patterns abuse exactly the kind of access list_documents 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 list_documents:
{
"version": "1",
"default": "deny",
"tools": {
"list_documents": {}
}
}list_documents is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List and search PandaDoc documents with filtering. Supports filtering by status, template, name/reference, tags, metadata, date ranges, and more. Returns compact summaries: id, name, status, dates. Status codes: 0=draft, 1=sent, 2=completed, 3=uploaded, 4=error, 5=viewed, 6=waiting_approval, 7=approved, 8=rejected, 9=waiting_pay, 10=paid, 11=voided, 12=declined RELATED TOOLS: - get_document_details: Get full details for a specific document - get_document_status: Quick status check by document ID. 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 list_documents: 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.
list_documents 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 list_documents 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 list_documents. 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.
list_documents 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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423 Apple Shortcuts tools catalogued and risk-classified — across an index of 43,000+ MCP servers.