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adampaulwalker

Google Drive CRUD MCP Server

Import to Google Doc

import_to_google_doc

Automatically convert Markdown, DOCX, TXT, HTML, RTF, or ODT files to Google Docs format, preserving structural formatting such as headings, lists, bold, and italic.

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
contentNoText content for text-based formats. Use only for short snippets or content already in memory.
file_urlNoRemote URL to fetch the file from (http/https).
file_nameYesThe name for the new Google Doc (extension will be ignored).
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.
folder_idNoThe ID of the parent folder. Defaults to 'root'.root
source_formatNoSource format hint ('md', 'markdown', 'docx', 'txt', 'html', 'rtf', 'odt'). Auto-detected from file_name extension if not provided.
user_google_emailYesThe user's Google email address. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Beyond the annotations (readOnlyHint=false, destructiveHint=false), the description discloses that Google Drive automatically converts the file to native format and preserves formatting, and it warns about memory/time limits with file_path. This adds meaningful behavioral context without contradicting annotations.

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, with a clear first sentence stating the main purpose, followed by a useful detail on conversion behavior and a practical usage tip. Every sentence contributes meaning, and the text is efficiently front-loaded.

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

Completeness5/5

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

Given the 7 parameters, the presence of a schema covering them, the output schema, and annotations, the description adds appropriate context about formats, conversion, and memory considerations. It is complete enough for an agent to use the tool correctly without needing additional information.

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?

The schema covers all 7 parameters with descriptions, so the baseline is 3. The description adds extra value by explaining the trade-off between content and file_path, specifically recommending file_path for batch operations to reduce context load, which is not fully captured in the schema alone.

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 files in several formats (Markdown, DOCX, TXT, HTML, RTF, ODT) into Google Docs format with automatic conversion. It specifies the action and resource, and the mention of conversion distinguishes it from sibling tools like create_file or docs_batch_update.

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 clear context that this tool is for importing files and converting them to Google Docs, and it gives practical guidance by recommending file_path for batch operations to avoid loading content into context. It does not explicitly name alternative tools, but the purpose is distinct enough that usage is well-understood.

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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