readGoogleDocPaginated
Read a portion of a Google Doc with pagination support. Use offset and limit to read large documents in chunks, avoiding output size limits.
This record as markdown: /tools/ark7-google-drive-mcp/readgoogledocpaginated.md
What readGoogleDocPaginated does on Google Drive
AI agents call readGoogleDocPaginated to retrieve information from Google Drive without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | number | — | Maximum characters to return per page (default: 50000, max: 80000; kept below the host's ~100K output cap to leave room for the JSON envelope and newline escapi |
tabId | string | — | Read a specific tab by ID (from listDocumentTabs). If omitted, all tabs are returned. |
format | string | — | Output format (default: text) |
offset | number | — | Character offset into the output text, not raw doc characters (with format=markdown the title prefix counts). 0-based, default: 0. Pass the previous response's |
account | string | — | Alias of the Google account to target. Optional — defaults to the session/global default account, or the sole authenticated account. Run manage_accounts list to |
documentId | string | Yes | The document ID |
Parameters from the server's own tool schema.
Why readGoogleDocPaginated is rated Low
This tool retrieves document content using pagination parameters (offset and limit) to query data in chunks. It has no side effects—it does not create, modify, delete, or execute operations. The pagination mechanism is purely for managing output size during retrieval. This is a straightforward read/query operation with minimal risk if invoked by an AI agent.
From the tool's definition Tool name contains 'read' and description states 'Read a portion of a Google Doc with pagination support', explicitly describing data retrieval without modification capabilities.
Attacks that exploit this kind of access
The rule that runs readGoogleDocPaginated safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Google Drive, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For readGoogleDocPaginated, this is the rule to start with:
readGoogleDocPaginated is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Google Drive, apply this rule, and every readGoogleDocPaginated call is checked against it from then on.
Questions about readGoogleDocPaginated
Read a portion of a Google Doc with pagination support. Use offset and limit to read large documents in chunks, avoiding output size limits. It is categorised as a Read tool in the Google Drive MCP Server, which means it retrieves data without modifying state.
readGoogleDocPaginated accepts 6 parameters: limit, tabId, format, offset, account, documentId. Required: documentId. The full parameter table on this page comes from the server's own tool schema.
Register the Google Drive MCP server in PolicyLayer and add a rule for readGoogleDocPaginated: 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 Google Drive. Nothing to install.
readGoogleDocPaginated 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 readGoogleDocPaginated 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 readGoogleDocPaginated. 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.
readGoogleDocPaginated is provided by the Google Drive MCP server (@ark7/google-drive-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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