google-docs-connector

name	google-docs-connector
description	Google Docs Connector: Google Docs: create, edit, format documents. Tables, images, headers, page breaks. Export to PDF/DOCX/HTML. Share and manage permissions. Use when an agent needs google docs connector, document automation, report generation, template creation, collaborative editing, batch update, document id, requests through AgentPMT-hosted remote tool calls. Discovery terms: google docs connector, document automation, report generation, template creation, collaborative editing.
version	1.0.1
homepage	https://www.agentpmt.com/marketplace/google-docs-connector
compatibility	Agent instructions for AgentPMT-hosted remote tool calls. Follow this skill body for supported account, wallet, and setup routes. No local command runtime is declared.
metadata	{"author":"agentpmt","openclaw":{"homepage":"https://www.agentpmt.com/marketplace/google-docs-connector"}}

Google Docs Connector

Freshness

Last updated: 2026-08-05.

If the current date is more than 7 days after the last updated date, reinstall this skill from skills.sh or ClawHub before relying on endpoints, schemas, setup steps, or examples.

What This Tool Does

Comprehensive Google Docs management tool enabling AI agents to create edit format and share documents through OAuth authentication. Supports rich text formatting with bold italic underline strikethrough and custom fonts paragraph styling with alignment spacing and indentation table creation and manipulation image insertion from URLs headers footers and page breaks named ranges for bookmarking document export to multiple formats including PDF DOCX HTML and EPUB sharing and permission management and natural language document creation. Perfect for document automation report generation collaborative editing template creation and content management workflows.

Product Instructions

Google Docs

Create, edit, format, and share Google Docs. Search for documents by name.

Parameters

• action (string, required): Action to perform. Use get_instructions for full details.
• document_id (string): Google Docs document ID (from the document URL). Required for most actions except create_document, search_documents, quick_create.
• tab_id (string): Target tab for tab-scoped updates. Get this from get_document → tabs[].tab_id. Indexed updates default to the first tab when omitted. replace_text applies to all tabs when omitted.
• title (string): Document title. Required for: create_document
• query (string): Search term for search_documents. Matches document names (contains match).
• max_results (integer, default 20, range 1-100): Maximum results for search_documents
• text (string): Text content for insert_text, create_document (initial content), replace_text, quick_create
• location (integer): Zero-based UTF-16 code-unit index for insertions. Defaults to 1, normally the beginning of a tab body.
• range_start (integer): Zero-based, inclusive UTF-16 code-unit start index for format_text and create_named_range.
• range_end (integer): Zero-based, exclusive UTF-16 code-unit end index for format_text and create_named_range.
• search_text (string): Text to find. Required for: replace_text
• replace_with (string): Replacement text. Required for: replace_text
• match_case (boolean, default false): Case-sensitive search for replace_text
• requests (array of objects): Raw batch update requests for batch_update
• text_style (object): Styling: bold, italic, underline, strikethrough, font_family, font_size, foreground_color, background_color, link
• paragraph_style (object): Styling: named_style_type (NORMAL_TEXT, TITLE, SUBTITLE, HEADING_1 through HEADING_6), alignment (START/CENTER/END/JUSTIFIED), line_spacing (100/150/200), indents
• rows (integer, 1-100): Table rows for create_table
• columns (integer, 1-20): Table columns for create_table
• table_data (array of arrays): 2D string array of cell data for create_table
• image_url (string): Publicly accessible image URL for insert_image

Actions

get_instructions

Returns this documentation.

create_document

Creates a new Google Doc.

Required: title Optional: text (initial content)

get_document

Retrieves content and indexed structure from every document tab, including nested child tabs.

Required: document_id

The response includes a flattened tabs array in UI order. Each item contains tab_id, title/hierarchy metadata, extracted text_content, and the complete document_tab structure with Google-provided startIndex and endIndex values. Use those returned indices and the matching tab_id for subsequent updates.

Indices are zero-based UTF-16 code-unit offsets; startIndex is inclusive and endIndex is exclusive. Refetch the document after edits that can shift indices.

search_documents

Searches for Google Docs by name. Returns documents sorted by most recently modified.

Optional: query (name contains match), max_results

If query is omitted, lists recent Google Docs.

insert_text

Inserts text at a specific position.

Required: document_id, text Optional: location (default: 1), tab_id

replace_text

Finds and replaces all occurrences of text.

Required: document_id, search_text, replace_with Optional: match_case, tab_id. If tab_id is omitted, replacement applies to all tabs.

format_text

Applies text and paragraph styling to a range.

Required: document_id, range_start, range_end, and at least one of text_style or paragraph_style Optional: tab_id

update_style

Alias for format_text.

insert_image

Inserts an inline image.

Required: document_id, image_url Optional: location, width, height, tab_id

create_table

Inserts a table, optionally populated with data.

Required: document_id Optional: rows, columns, table_data, location, tab_id

If table_data is provided, dimensions are inferred from it.

insert_page_break

Required: document_id Optional: location, tab_id

insert_section_break

Required: document_id Optional: location, tab_id

create_header

Required: document_id Optional: header_type (DEFAULT, FIRST_PAGE, EVEN_PAGE, ODD_PAGE), text

create_footer

Required: document_id Optional: footer_type (DEFAULT, FIRST_PAGE, EVEN_PAGE, ODD_PAGE)

create_named_range

Required: document_id, range_name, range_start, range_end Optional: tab_id

export_document

Exports to another format. Text formats return content directly; binary formats return base64.

Required: document_id, export_format

share_document

Sets sharing permissions via Google Drive.

Required: document_id, share_with Optional: send_notification, email_message

get_permissions

Lists current sharing settings.

Required: document_id

batch_update

Executes raw Google Docs API batch update requests for advanced operations.

Required: document_id, requests

For a request containing a range or location, put tabId inside that raw range/location. The top-level tab_id parameter is not injected into raw requests.

quick_create

Creates a document from a natural language description.

Required: text Optional: title

Examples

{"action":"search_documents","query":"meeting notes"}

{"action":"search_documents","query":"Q1 report","max_results":5}

{"action":"create_document","title":"Meeting Notes","text":"Agenda:\n1. Review\n2. Planning"}

{"action":"get_document","document_id":"1a2b3c4d5e"}

{"action":"insert_text","document_id":"1a2b3c4d5e","tab_id":"t.abc123","text":"New paragraph\n","location":1}

{"action":"replace_text","document_id":"1a2b3c4d5e","search_text":"draft","replace_with":"final"}

{"action":"format_text","document_id":"1a2b3c4d5e","tab_id":"t.abc123","range_start":1,"range_end":10,"text_style":{"bold":true,"font_size":{"magnitude":14,"unit":"PT"}}}

Apply a real heading style in a specific tab:

{"action":"format_text","document_id":"1a2b3c4d5e","tab_id":"t.abc123","range_start":1,"range_end":18,"paragraph_style":{"named_style_type":"HEADING_1"}}

Create a real numbered list in a specific tab using indices returned by get_document:

{"action":"batch_update","document_id":"1a2b3c4d5e","requests":[{"createParagraphBullets":{"range":{"tabId":"t.abc123","startIndex":20,"endIndex":58},"bulletPreset":"NUMBERED_DECIMAL_ALPHA_ROMAN"}}]}

{"action":"export_document","document_id":"1a2b3c4d5e","export_format":"pdf"}

{"action":"share_document","document_id":"1a2b3c4d5e","share_with":[{"email":"[e-mail]","role":"writer","type":"user"}]}

Response

All responses return {"success": true, "output": { ... }}. Output varies by action:

• search_documents → {"query": "...", "result_count": N, "documents": [{"document_id", "name", "modified_time", "web_view_link", ...}]}
• create_document → {"document_id", "title", "revision_id"}
• get_document → {"document_id", "title", "text_content", "word_count", "tab_count", "tabs", "index_semantics", "raw_document"}
• replace_text → {"occurrences_changed": N}
• export_document → {"content": "..."} (text) or {"content_base64": "..."} (binary)
• share_document → {"permissions_added": N, "permissions": [...]}
• get_permissions → {"permissions": [...]}

When To Use

• Use this skill for Google Docs Connector on AgentPMT.
• Use it when an agent needs this specific tool's behavior, schema, inputs, outputs, and invocation shape.
• Search and activation keywords: google docs connector, document automation, report generation, template creation, collaborative editing, batch update, document id, requests.
• Supported action names: batch_update, create_document, create_footer, create_header, create_named_range, create_table, export_document, format_text, get_document, get_permissions, insert_image, insert_page_break, insert_section_break, insert_text, quick_create, replace_text, search_documents, share_document, update_style.

Use Cases

• document automation
• report generation
• template creation
• collaborative editing
• content management
• proposal writing
• meeting agenda creation
• contract generation
• documentation workflows
• batch document processing

Categories And Industries

No categories or industry tags are published for this tool.

Actions And Schema

Complete generated action schema: ./schema.md. Supported action count: 19. x402 availability: not enabled for this product.

• batch_update (action slug: batch-update): Execute raw Google Docs API batch update requests. Put tabId inside each raw range or location when targeting a non-first tab. Price: 5 credits. Parameters: document_id, requests.
• create_document (action slug: create-document): Create a new Google Doc. Price: 5 credits. Parameters: text, title.
• create_footer (action slug: create-footer): Add a footer to the document. Price: 5 credits. Parameters: document_id, footer_type.
• create_header (action slug: create-header): Add a header to the document. Price: 5 credits. Parameters: document_id, header_type, text.
• create_named_range (action slug: create-named-range): Create a named range (bookmark) spanning a character range in the document. Price: 5 credits. Parameters: document_id, range_end, range_name, range_start, tab_id.
• create_table (action slug: create-table): Insert a table into a document, optionally populated with data. If table_data is provided, dimensions are inferred from it. Price: 5 credits. Parameters: columns, document_id, location, rows, tab_id, table_data.
• export_document (action slug: export-document): Export a document to another format. Text formats (txt, html) return content directly; binary formats return base64-encoded content. Price: 5 credits. Parameters: document_id, export_format.
• format_text (action slug: format-text): Apply text and/or paragraph styling to a zero-based UTF-16 range in a specific document tab. Provide at least one non-empty style object. Price: 5 credits. Parameters: , , , , , .

Live Schema And Examples

Use the compact schema above for ordinary calls. Before a new production integration, or whenever parameters, enum values, nested objects, outputs, or examples are unclear, fetch live details first.

• Exact schema: call agentpmt-tool-search-and-execution with action: "get_schema", and tool_id: "google-docs-connector".
• Detailed examples: call agentpmt-tool-search-and-execution with action: "get_instructions" and tool_id: "google-docs-connector", or call this product with action: "get_instructions" when the product tool is already selected.
• Treat returned live schema and instructions as more specific than this generated summary.

MCP schema lookup through the main AgentPMT MCP server:

{
  "method": "tools/call",
  "params": {
    "name": "AgentPMT-Tool-Search-and-Execution",
    "arguments": {
      "action": "get_schema",
      "tool_id": "google-docs-connector"
    }
  }
}

For live examples, keep the same MCP tool and use these arguments:

{
  "action": "get_instructions",
  "tool_id": "google-docs-connector"
}

Authenticated AgentPMT REST schema lookup body:

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_schema",
    "tool_id": "google-docs-connector"
  }
}

Authenticated AgentPMT REST live examples body:

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_instructions",
    "tool_id": "google-docs-connector"
  }
}

Call This Tool

Product slug: google-docs-connector

Marketplace page: https://www.agentpmt.com/marketplace/google-docs-connector

• AgentPMT account route: first use ../agentpmt-account-mcp-rest-api-setup to connect the main MCP server or REST API for an Agent Group where this tool is enabled.
• x402 route: not enabled for this product.
• AgentPMT overview: use ../what-is-agentpmt for marketplace, Agent Group, workflow, MCP, REST, and payment concepts.

If those setup skills are not installed beside this product skill, use the downloads below.

Core AgentPMT setup skills:

• What AgentPMT is: ../what-is-agentpmt
  • ClawHub page: https://clawhub.ai/agentpmt/what-is-agentpmt
  • OpenClaw install: openclaw skills install what-is-agentpmt
  • skills.sh install: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
• AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup
  • ClawHub page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup
  • OpenClaw install: openclaw skills install agentpmt-account-mcp-rest-api-setup
  • skills.sh install: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

skills.sh install script:

npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

MCP call shape after the main AgentPMT MCP server is connected:

{
  "method": "tools/call",
  "params": {
    "name": "Google-Docs-Connector",
    "arguments": {
      "action": "batch_update",
      "document_id": "example document id",
      "requests": [
        {}
      ]
    }
  }
}

Use the exact tool name returned by tools/list; the name above is the expected readable form.

Authenticated AgentPMT REST call body:

{
  "name": "google-docs-connector",
  "parameters": {
    "action": "batch_update",
    "document_id": "example document id",
    "requests": [
      {}
    ]
  }
}

Use the setup skill for the account connection details before making REST calls.

Response Handling

• Treat the returned JSON as the source of truth for this tool call.
• If the response includes warnings or correction targets, apply them before retrying.
• If the response includes a passed or success-style boolean, use it as the workflow gate.
• If validation fails or the response shape is unclear, call get_schema or get_instructions before retrying.
• If batch_update fails, preserve the request parameters and retry only after fixing schema, auth, or payment errors.

Security

• Do not place account secrets, wallet private keys, mnemonics, signatures, or payment headers in prompts or logs.
• Keep tool inputs scoped to the minimum content needed for the task.
• Use the setup skills for credential handling; this product skill only defines product-specific behavior.

AgentPMT Reference

• What AgentPMT is: ../what-is-agentpmt (ClawHub: what-is-agentpmt, page: https://clawhub.ai/agentpmt/what-is-agentpmt; skills.sh: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt)
• AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup (ClawHub: agentpmt-account-mcp-rest-api-setup, page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup; skills.sh: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup)
• Marketplace product: https://www.agentpmt.com/marketplace/google-docs-connector
• AgentPMT main MCP server: https://api.agentpmt.com/mcp/
• AgentPMT REST invoke endpoint: https://api.agentpmt.com/products/purchase