get_document
Returns the raw Docs API document: title, documentId, revisionId, per-tab body with every structural element's startIndex/endIndex, textRun styles, tables, lists, inlineObjects (image ids for replace_image), headers/footers (their segment ids) and named styles. This is the exact index map that ra...
This record as markdown: /tools/a1-x-tech-mcp-google-docs/get-document.md
What get_document does on Mcp Google Docs
AI agents call get_document to retrieve information from Mcp Google Docs 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 |
|---|---|---|---|
document_id | string | Yes | The document id — the long id from the document URL (docs.google.com/document/d/<documentId>/edit) or from create_document output. |
include_tabs_content | boolean | — | Populate every tab's content (default true). false = first-tab legacy shape. |
suggestions_view_mode | string | — | How unresolved suggested edits render in the returned content. |
Parameters from the server's own tool schema.
Why get_document is rated Low
Even though get_document only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs get_document safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Google Docs, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_document, this is the rule to start with:
get_document 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 Mcp Google Docs, apply this rule, and every get_document call is checked against it from then on.
Questions about get_document
Returns the raw Docs API document: title, documentId, revisionId, per-tab body with every structural element's startIndex/endIndex, textRun styles, tables, lists, inlineObjects (image ids for replace_image), headers/footers (their segment ids) and named styles. This is the exact index map that range tools consume, but it is VERBOSE — for reading content prefer read_document_text, which returns compact blocks with the same indexes. include_tabs_content=true (default) populates all tabs; suggestions_view_mode controls how unresolved suggestions render (default DEFAULT_FOR_CURRENT_ACCESS). It is categorised as a Read tool in the Mcp Google Docs MCP Server, which means it retrieves data without modifying state.
get_document accepts 3 parameters: document_id, include_tabs_content, suggestions_view_mode. Required: document_id. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Google Docs MCP server in PolicyLayer and add a rule for get_document: 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 Mcp Google Docs. Nothing to install.
get_document 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 get_document 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 get_document. 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.
get_document is provided by the Mcp Google Docs MCP server (@a1-x-tech/mcp-google-docs). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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