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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

download_google_doc

Download a Google Doc and save it as a local file in markdown, HTML, PDF, or DOCX format, optionally including comments and rewriting internal links. Preview changes with dry run before saving.

Instructions

Download content from a linked Google Doc and SAVE it to a local file. SAFETY: Defaults to dry_run=True. Usage must explicitly set dry_run=False to apply changes.

Args: user_google_email: The user's Google email address. Required. local_path: Path to the local file. format: Output format ('markdown', 'html', 'pdf', 'docx'). include_comments: If True, append comments to the end. rewrite_links: If True, rewrite internal doc links to local file links. dry_run: If True (default), return a diff of changes (for text/markdown) or preview. Set False to save.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
local_pathYes
formatNomarkdown
include_commentsNo
rewrite_linksNo
dry_runNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Since no annotations are provided, the description carries the full burden. It discloses the dry_run behavior, providing a diff/preview format, and explains all parameters. It does not mention auth or rate limits, but the safety aspect is well-covered.

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 concise (about 150 words) and front-loaded with the purpose. It uses a clear 'Args:' label to list parameters. While slightly verbose in the safety warning, it remains efficient and well-structured.

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?

The description covers purpose, parameters, and safety behavior comprehensively. It lacks details on return value structure (beyond dry_run) and potential errors, but the presence of an output schema might compensate. Given no annotations, it is fairly complete for a download tool.

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

Parameters5/5

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

With 0% schema description coverage, the description adds crucial semantics for all 6 parameters, including the required user_google_email, format options, behavior of include_comments, rewrite_links, and the critical dry_run parameter. This far exceeds the schema's default values.

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: 'Download content from a linked Google Doc and SAVE it to a local file.' This distinguishes it from siblings like get_doc_content (which retrieves content without saving) or export_doc_to_pdf (which exports to PDF but not necessarily to a local path).

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 highlights the safety default (dry_run=True) and the requirement to explicitly set dry_run=False to apply changes. This provides clear usage guidance. However, it does not explicitly compare to siblings like export_doc_to_pdf or download_doc_tabs, but the purpose itself implies saving to a local file is the key differentiator.

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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