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MCP Google Drive Server

by mrbit-dev

🚀 MCP Google Drive Server

MCP Google Drive Node.js TypeScript License

Kết nối AI Assistant với Google Drive của bạn thông qua Model Context Protocol (MCP)

Connect your AI Assistant to Google Drive via Model Context Protocol (MCP)

Tiếng ViệtEnglish


📖 Hướng dẫn Tiếng Việt

MCP Google Drive là gì?

MCP Google Drive là một server tuân theo chuẩn Model Context Protocol (MCP) — giao thức cho phép các AI Assistant (như Antigravity IDE, Claude Code, Claude Desktop) đọc, ghi, tìm kiếm và quản lý file trên Google Drive của bạn trực tiếp qua chat.

Sau khi cài đặt, bạn có thể nói chuyện với AI như:

"Hãy tạo file tóm tắt cuộc họp hôm nay và lưu vào thư mục 'Work' trên Drive của tôi" "Đọc nội dung file report.txt trong Drive và phân tích giúp tôi" "Tìm tất cả file Excel trong Drive có tên chứa 'báo cáo'"

✨ Tính năng

Tool

Mô tả

gdrive_list

Liệt kê file/folder trong thư mục bất kỳ

gdrive_create_folder

Tạo thư mục mới

gdrive_read_file

Đọc nội dung file (hỗ trợ Google Docs, Sheets, CSV, text)

gdrive_write_file

Tạo file mới với nội dung

gdrive_update_file

Cập nhật nội dung file có sẵn

gdrive_delete_file

Xóa file/folder (chuyển vào thùng rác hoặc xóa vĩnh viễn)

gdrive_search

Tìm kiếm file theo tên, loại, v.v.


📋 Yêu cầu trước khi cài đặt

  • Node.js v18 trở lên

  • Tài khoản Google

  • Đã cài Antigravity IDE hoặc Claude Code / Claude Desktop


🔧 Bước 1: Lấy Google OAuth Credentials

Đây là bước quan trọng nhất. Bạn cần tạo thông tin xác thực OAuth 2.0 từ Google Cloud Console.

1.1. Vào Google Cloud Console

  1. Truy cập https://console.cloud.google.com

  2. Đăng nhập bằng tài khoản Google của bạn

  3. Tạo Project mới hoặc chọn project hiện có

1.2. Bật Google Drive API

  1. Trong menu bên trái, chọn "APIs & Services""Library"

  2. Tìm kiếm "Google Drive API"

  3. Click vào kết quả và nhấn "Enable" (Bật)

1.3. Tạo OAuth 2.0 Credentials

  1. Vào "APIs & Services""Credentials"

  2. Click "+ Create Credentials""OAuth client ID"

  3. Nếu được yêu cầu cấu hình OAuth consent screen:

    • Chọn "External""Create"

    • Điền tên app (bất kỳ, ví dụ: "My MCP Drive")

    • Thêm email của bạn vào "Test users"

    • Lưu lại

  4. Quay lại tạo credentials:

    • Application type: chọn "Desktop app"

    • Name: đặt tên bất kỳ (ví dụ: "MCP Drive Desktop")

    • Click "Create"

  5. Nhấn "Download JSON" để tải file credentials

1.4. Lưu file credentials

Đặt file vừa tải về vào thư mục dự án và đổi tên thành credentials.json

⚠️ Quan trọng: KHÔNG chia sẻ file credentials.jsontoken.json với bất kỳ ai!


📥 Bước 2: Cài đặt MCP Google Drive

# Clone repository
git clone https://github.com/mrbit-dev/mcp-google-driver.git
cd mcp-google-driver

# Cài đặt dependencies
npm install

# Build TypeScript
npm run build

🔑 Bước 3: Xác thực Google Drive (Lần đầu tiên)

npm run auth

Chương trình sẽ:

  1. Hiển thị một đường link Google OAuth

  2. Mở link đó trong trình duyệt, đăng nhập và cấp quyền

  3. Sau khi xác nhận, bạn sẽ được chuyển hướng (trang có thể báo lỗi kết nối — điều đó bình thường)

  4. Copy toàn bộ URL trên thanh địa chỉ trình duyệt và dán vào terminal

  5. File token.json sẽ được tạo tự động — xác thực thành công!


⚙️ Bước 4: Cài đặt vào AI Assistant

🤖 Antigravity IDE

  1. Mở Antigravity IDE

  2. Vào SettingsMCP Servers

  3. Thêm cấu hình sau:

{
  "mcpServers": {
    "google-drive": {
      "command": "node",
      "args": ["C:/ĐƯỜNG_DẪN_ĐẾN_THƯ_MỤC/mcp-google-driver/dist/index.js"],
      "env": {
        "CREDENTIALS_PATH": "C:/ĐƯỜNG_DẪN_ĐẾN_THƯ_MỤC/mcp-google-driver/credentials.json",
        "TOKEN_PATH": "C:/ĐƯỜNG_DẪN_ĐẾN_THƯ_MỤC/mcp-google-driver/token.json"
      }
    }
  }
}

💡 Thay C:/ĐƯỜNG_DẪN_ĐẾN_THƯ_MỤC bằng đường dẫn thực tế trên máy bạn.

Ví dụ Windows: C:/Users/TenUser/Documents/mcp-google-driver Ví dụ macOS/Linux: /home/user/mcp-google-driver

  1. Restart Antigravity IDE

  2. Kiểm tra: Chat với AI và hỏi "Liệt kê file trong Google Drive của tôi"


🖥️ Claude Code (CLI)

Thêm vào file cấu hình MCP của Claude Code:

# Mở file cấu hình (tạo nếu chưa có)
# Windows: %APPDATA%\Claude\claude_desktop_config.json
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Linux: ~/.config/Claude/claude_desktop_config.json

Nội dung file cấu hình:

{
  "mcpServers": {
    "google-drive": {
      "command": "node",
      "args": ["/ĐƯỜNG_DẪN_THỰC_TẾ/mcp-google-driver/dist/index.js"],
      "env": {
        "CREDENTIALS_PATH": "/ĐƯỜNG_DẪN_THỰC_TẾ/mcp-google-driver/credentials.json",
        "TOKEN_PATH": "/ĐƯỜNG_DẪN_THỰC_TẾ/mcp-google-driver/token.json"
      }
    }
  }
}

🖥️ Claude Desktop

  1. Mở Claude Desktop

  2. Vào SettingsDeveloperEdit Config

  3. Thêm cấu hình tương tự như Claude Code ở trên

  4. Restart Claude Desktop


🎯 Ví dụ sử dụng

Sau khi cài xong, bạn có thể ra lệnh cho AI bằng ngôn ngữ tự nhiên:

📂 "Liệt kê tất cả file trong thư mục gốc Drive của tôi"
📖 "Đọc nội dung của file có ID: 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgVE2upms"
✍️  "Tạo file text tên 'notes.txt' với nội dung 'Ghi chú quan trọng hôm nay'"
📁 "Tạo thư mục tên 'Dự án 2025' trong Drive"
🔍 "Tìm tất cả file PDF trong Drive"
🗑️  "Chuyển file ID abc123 vào thùng rác"

❓ Xử lý lỗi thường gặp

Lỗi

Nguyên nhân

Giải pháp

credentials.json not found

Chưa đặt file credentials

Đặt credentials.json vào thư mục dự án

token.json not found

Chưa xác thực

Chạy npm run auth

Token expired

Token hết hạn

Chạy lại npm run auth

Access denied

Chưa bật Drive API

Bật Google Drive API trong Google Cloud Console


Related MCP server: Google Docs MCP Server

📖 English Guide

What is MCP Google Drive?

MCP Google Drive is a server implementing the Model Context Protocol (MCP) — a standard that allows AI Assistants (Antigravity IDE, Claude Code, Claude Desktop) to read, write, search and manage files on your Google Drive directly through chat.

✨ Features

Tool

Description

gdrive_list

List files/folders in any directory

gdrive_create_folder

Create a new folder

gdrive_read_file

Read file content (supports Google Docs, Sheets, CSV, text)

gdrive_write_file

Create a new file with content

gdrive_update_file

Update existing file content

gdrive_delete_file

Delete file/folder (trash or permanent)

gdrive_search

Search files by name, type, etc.


📋 Prerequisites

  • Node.js v18 or higher

  • A Google Account

  • Antigravity IDE, Claude Code, or Claude Desktop installed


🔧 Step 1: Get Google OAuth Credentials

1.1. Go to Google Cloud Console

  1. Visit https://console.cloud.google.com

  2. Sign in with your Google account

  3. Create a new project or select an existing one

1.2. Enable Google Drive API

  1. Navigate to "APIs & Services""Library"

  2. Search for "Google Drive API"

  3. Click the result and press "Enable"

1.3. Create OAuth 2.0 Credentials

  1. Go to "APIs & Services""Credentials"

  2. Click "+ Create Credentials""OAuth client ID"

  3. If prompted to configure OAuth consent screen:

    • Choose "External""Create"

    • Fill in app name (any name, e.g., "My MCP Drive")

    • Add your email to "Test users"

    • Save

  4. Back to creating credentials:

    • Application type: select "Desktop app"

    • Name: any name (e.g., "MCP Drive Desktop")

    • Click "Create"

  5. Click "Download JSON" to download credentials

1.4. Save credentials file

Place the downloaded file in your project directory and rename it to credentials.json

⚠️ Important: NEVER share credentials.json or token.json with anyone!


📥 Step 2: Install MCP Google Drive

# Clone repository
git clone https://github.com/mrbit-dev/mcp-google-driver.git
cd mcp-google-driver

# Install dependencies
npm install

# Build TypeScript
npm run build

🔑 Step 3: Authenticate with Google Drive (First time only)

npm run auth

The program will:

  1. Display a Google OAuth link

  2. Open that link in your browser, sign in and grant permissions

  3. After confirmation, you'll be redirected (the page may show a connection error — that's normal)

  4. Copy the full URL from the browser address bar and paste it into the terminal

  5. token.json will be created automatically — authentication successful!


⚙️ Step 4: Configure your AI Assistant

🤖 Antigravity IDE

  1. Open Antigravity IDE

  2. Go to SettingsMCP Servers

  3. Add the following configuration:

{
  "mcpServers": {
    "google-drive": {
      "command": "node",
      "args": ["C:/PATH_TO_FOLDER/mcp-google-driver/dist/index.js"],
      "env": {
        "CREDENTIALS_PATH": "C:/PATH_TO_FOLDER/mcp-google-driver/credentials.json",
        "TOKEN_PATH": "C:/PATH_TO_FOLDER/mcp-google-driver/token.json"
      }
    }
  }
}

💡 Replace C:/PATH_TO_FOLDER with the actual path on your machine.

Windows example: C:/Users/YourName/Documents/mcp-google-driver macOS/Linux example: /home/user/mcp-google-driver

  1. Restart Antigravity IDE

  2. Test: Chat with AI and ask "List files in my Google Drive"


🖥️ Claude Code (CLI)

Add to your Claude Code MCP configuration file:

# Config file location:
# Windows: %APPDATA%\Claude\claude_desktop_config.json
# macOS:   ~/Library/Application Support/Claude/claude_desktop_config.json
# Linux:   ~/.config/Claude/claude_desktop_config.json

Config content:

{
  "mcpServers": {
    "google-drive": {
      "command": "node",
      "args": ["/ACTUAL_PATH/mcp-google-driver/dist/index.js"],
      "env": {
        "CREDENTIALS_PATH": "/ACTUAL_PATH/mcp-google-driver/credentials.json",
        "TOKEN_PATH": "/ACTUAL_PATH/mcp-google-driver/token.json"
      }
    }
  }
}

🖥️ Claude Desktop

  1. Open Claude Desktop

  2. Go to SettingsDeveloperEdit Config

  3. Add the same configuration as Claude Code above

  4. Restart Claude Desktop


❓ Common Error Troubleshooting

Error

Cause

Solution

credentials.json not found

Credentials file missing

Place credentials.json in the project folder

token.json not found

Not authenticated yet

Run npm run auth

Token expired

Token has expired

Run npm run auth again

Access denied

Drive API not enabled

Enable Google Drive API in Google Cloud Console


🛡️ Security / Bảo mật

  • credentials.jsontoken.json không được commit lên Git (đã có trong .gitignore)

  • Chỉ cấp quyền tối thiểu cần thiết cho Google Drive API

  • Token được tự động làm mới khi hết hạn


📄 License

MIT License — Xem file LICENSE để biết thêm chi tiết.


Available Tools

7 tools
gdrive_create_folderC

Create a new folder in Google Drive

ParametersJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the new folder
parentIdNoThe ID of the parent folder where the new folder will be created. Defaults to 'root'.

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as permissions required, behavior on duplicate folder names, error handling for invalid parentId, or whether the folder is created immediately. The description only states the basic action.

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

Conciseness4/5

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

The description is a single sentence, which is concise and front-loaded. However, it could be slightly restructured to include key details like default parent behavior or return value.

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

Completeness2/5

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

Given no output schema and no annotations, the description lacks completeness. It does not explain what the tool returns (e.g., folder ID), error scenarios, or behavior when parentId is omitted. This leaves the agent with insufficient context to use the tool correctly.

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

Parameters3/5

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

Both parameters have descriptive names and descriptions in the input schema, so the tool description adds no additional meaning beyond the schema. Baseline score of 3 is appropriate as it neither harms nor significantly helps parameter understanding.

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

Purpose4/5

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

The description clearly states the action (Create) and resource (a new folder in Google Drive). It is specific and distinguishable from sibling tools like gdrive_delete_file or gdrive_list, though it does not explicitly differentiate from file creation tools like gdrive_write_file.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. For example, it does not mention prerequisites like parent folder existence or when to use gdrive_write_file instead for creating a file.

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

gdrive_delete_fileA

Move a file or folder to trash or delete it permanently

ParametersJSON Schema
NameRequiredDescriptionDefault
fileIdYesThe ID of the file or folder to delete
useTrashNoIf true, moves to trash instead of permanent deletion. Recommended.

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits. It only mentions the two disposal modes (trash vs permanent) but omits details about permissions, irreversibility of permanent deletion, or effects on shared files. This is minimal coverage.

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 a single, concise sentence that clearly communicates the tool's purpose. Every word earns its place with no superfluous information.

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

Completeness3/5

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

The description adequately covers the basic action and parameter choice, but it lacks context on recursive deletion for folders, potential error states, or return behavior. Given the tool's simplicity (2 params, no output schema), it is minimally viable but has gaps.

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

Parameters3/5

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

The schema covers both parameters (fileId, useTrash) with descriptions, achieving 100% coverage. The description adds no extra meaning beyond the schema, meeting the baseline expectation.

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's action: moving a file or folder to trash or permanent deletion. It uses specific verbs and resources, distinguishing it from sibling tools that perform create, list, read, search, update, and write operations.

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

Usage Guidelines3/5

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

The description implies usage when deletion is needed but lacks explicit guidance on when to use this tool versus others. While the 'useTrash' parameter includes a recommendation, there is no direct comparison with alternative actions or prerequisites.

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

gdrive_listB

List files and folders in a specific directory or root folder

ParametersJSON Schema
NameRequiredDescriptionDefault
parentIdNoThe ID of the parent folder. Use 'root' for the top level directory.root
pageSizeNoMaximum number of files to return

TDQS

B3.4/5.0
Behavior3/5

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

Without annotations, the description only states 'List files and folders', implying a read-only operation. It does not explicitly disclose whether it modifies data, rate limits, or permission requirements. The behavior is clear but not fully detailed.

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 a single, concise sentence that immediately conveys the tool's purpose without unnecessary words.

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

Completeness2/5

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

The description does not explain the return format (e.g., file/folder metadata, pagination) or error conditions. Given no output schema, this leaves the agent lacking critical information for correct invocation.

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

Parameters3/5

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

Schema coverage is 100%, so parameters are well-documented in the schema. The description adds no additional meaning beyond what the schema provides (e.g., parentId and pageSize descriptions already exist).

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 lists files and folders in a specific directory or root folder, matching the verb 'list' and resource 'files and folders'. It distinguishes itself from siblings like gdrive_search (which searches across drives) and gdrive_read_file (which reads a single file).

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives (e.g., gdrive_search). The description lacks context about prerequisites or decision criteria for selection.

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

gdrive_read_fileA

Read the content of a Google Drive file as text

ParametersJSON Schema
NameRequiredDescriptionDefault
fileIdYesThe unique ID of the file to read

TDQS

A3.6/5.0
Behavior2/5

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

No annotations provided, so description must disclose traits. It says 'as text' implying a limitation, but no mention of permissions, size limits, or binary handling. Minimal beyond 'read'.

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?

Single sentence with no wasted words, perfectly front-loaded.

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?

For a simple read tool with one parameter and no output schema, the description is mostly sufficient. Could hint at return value format, but acceptable.

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

Parameters3/5

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

Schema coverage is 100% for fileId with a clear description. The tool description adds the context that output is text, which is not in schema, but does not elaborate on the parameter itself.

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 verb 'Read' and the resource 'a Google Drive file as text', distinguishing it from sibling tools like gdrive_write_file and gdrive_delete_file.

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

Usage Guidelines3/5

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

Implicitly, use when needing file content. No explicit when-not or alternative guidance, such as preferring gdrive_list for metadata.

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

gdrive_update_fileC

Update the content of an existing text file in Google Drive

ParametersJSON Schema
NameRequiredDescriptionDefault
fileIdYesThe ID of the file to update
contentYesThe new text content to write into the file

TDQS

C2.9/5.0
Behavior2/5

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

Description lacks details about behavior: whether it replaces content entirely, what happens if file doesn't exist, permissions needed.

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

Conciseness4/5

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

Single sentence, no fluff, but could include more useful information without becoming verbose.

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

Completeness2/5

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

Lacks details about constraints (e.g., only text files), return value, and error handling; minimal for a mutation tool.

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

Parameters3/5

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

Schema covers all parameters with descriptions; tool description adds no additional semantic value beyond the schema.

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

Purpose4/5

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

Description clearly states it updates an existing text file's content, but does not differentiate from sibling tool 'gdrive_write_file' which may have similar functionality.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like gdrive_write_file or gdrive_read_file.

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

gdrive_write_fileC

Create a new text file or overwrite an existing file with content

ParametersJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the file to create
contentYesThe text content of the file
parentIdNoThe ID of the parent folder. Defaults to 'root'.
mimeTypeNoMime type of the file. Defaults to 'text/plain'. For Google Doc use 'application/vnd.google-apps.document'.

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions overwriting existing files but omits details like destructive nature, permission requirements, error conditions, or behavior with different mime types (e.g., Google Docs).

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

Conciseness4/5

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

The description is a single concise sentence that is front-loaded with the key action. It is efficient but could incorporate important behavioral details without losing conciseness.

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

Completeness2/5

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

Given the tool's complexity (4 parameters, 2 required, no output schema) and the absence of annotations, the description is incomplete. It does not mention default values for parentId and mimeType, return values, or error handling, leaving significant gaps for an AI agent.

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

Parameters3/5

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

Schema coverage is 100%, so the baseline is 3. The description adds minimal value beyond the schema, only loosely referencing 'text content' and not explaining parameter interactions (e.g., content for non-text mime types).

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

Purpose4/5

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

The description clearly states the tool creates or overwrites a file with content. It identifies the verb (create/overwrite) and resource (file), but lacks distinction from the sibling gdrive_update_file tool.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like gdrive_update_file. The description does not specify prerequisites, context, or when not to use it.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 7 tool updatesv1.0.0
    • First observedgdrive_create_folder
    • First observedgdrive_delete_file
    • First observedgdrive_list
    • First observedgdrive_read_file
    • First observedgdrive_search
    • First observedgdrive_update_file
    • First observedgdrive_write_file

TDQS

A3.6/5.0
Disambiguation5/5

Each tool targets a distinct operation (create folder, delete, list, read, search, update, write) with clear boundaries. Even the write and update tools are differentiated by context (new/overwrite vs. existing).

Naming Consistency5/5

All tools follow the consistent pattern 'gdrive_verb_noun' (e.g., gdrive_create_folder, gdrive_read_file). The naming is uniform and predictable.

Tool Count5/5

With 7 tools, the set is well-scoped for a Google Drive server covering essential file and folder operations without being excessive or too sparse.

Completeness4/5

The set covers core CRUD operations (create, read, update, delete, list, search). However, it lacks support for binary files, file/folder moves, renaming, and permission management, which are minor gaps.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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