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Import to Google Doc

import_to_google_doc

Convert and import Markdown, DOCX, TXT, HTML, RTF, or ODT files into Google Docs with automatic formatting preservation.

Instructions

Imports a file (Markdown, DOCX, TXT, HTML, RTF, ODT) into Google Docs format with automatic conversion.

Google Drive automatically converts the source file to native Google Docs format, preserving formatting like headings, lists, bold, italic, etc. For batch operations, prefer file_path for files on disk so callers do not need to load full file contents into their context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesThe user's Google email address. Required.
file_nameYesThe name for the new Google Doc (extension will be ignored).
contentNoText content for text-based formats. Use only for short snippets or content already in memory.
file_pathNoLocal file path or file:// URL for any supported format (MD, TXT, HTML, DOCX, ODT, RTF). Appropriate for larger files than content, but file_path may still load the file into memory or perform non-streaming reads. Avoid very large files that could exceed memory or time limits; use streaming/chunked uploads or an alternative API for huge files.
file_urlNoRemote URL to fetch the file from (http/https).
source_formatNoSource format hint ('md', 'markdown', 'docx', 'txt', 'html', 'rtf', 'odt'). Auto-detected from file_name extension if not provided.
folder_idNoThe ID of the parent folder. Defaults to 'root'.root

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description reveals automatic conversion behavior and formatting preservation, and warns about file_path memory/streaming limitations: 'file_path may still load the file into memory or perform non-streaming reads. Avoid very large files...' This adds significant context beyond the annotations (readOnlyHint=false, etc.), which already indicate mutation without destruction. No contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded: first sentence states purpose and formats, second paragraph adds conversion details and usage guidance. Every sentence serves a clear purpose with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 7 parameters, 100% schema coverage, and an output schema (which reduces need to describe return values), the description covers purpose, supported formats, conversion behavior, and usage guidance. It could add differentiation from create_doc or mention authentication, but overall it's thorough enough for an AI agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, baseline 3. The description adds value by contextualizing file_path vs content usage (batch operations, memory considerations) and the conversion process, which supplements the schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool imports a file into Google Docs format, listing supported formats (Markdown, DOCX, TXT, HTML, RTF, ODT). It uses a specific verb ('imports') and resource ('file into Google Docs format'), distinguishing it from sibling tools like import_to_google_sheets and import_to_google_slides.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance: 'For batch operations, prefer file_path for files on disk so callers do not need to load full file contents into their context.' This advises when to use file_path vs content. However, it does not explicitly state when not to use this tool or alternatives beyond the sibling differentiation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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