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Convert Markdown to Google Doc

md_to_gdoc

Convert Markdown files or raw text into native Google Docs on Google Drive, preserving headings, lists, tables, and code formatting. Requires one-time authentication via the MCP server setup.

Instructions

Upload a Markdown file (or raw Markdown text) to Google Drive as a native Google Doc, preserving headings/lists/tables/code formatting. Requires prior one-time auth (run npm run auth in the mcp-md-converter project).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoGoogle Doc title (defaults to filename or 'Document')
markdownNoRaw markdown text to convert (alternative to markdown_path)
folder_idNoGoogle Drive folder ID to place the doc in (optional)
markdown_pathNoAbsolute path to the .md file to convert
Behavior3/5

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

With no annotations, the description carries full behavioral burden. It discloses the auth prerequisite and formatting preservation, but does not mention what happens if a doc with the same title exists, whether the operation can overwrite, or error behavior. The write nature is implied by 'Upload... upload' but not explicitly flagged as a mutating action.

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: two sentences, front-loaded with the primary action, followed by the auth prerequisite. Every sentence earns its place 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 4 optional parameters, no output schema, and no annotations, the description covers the core purpose, input formats, formatting behavior, and prerequisite auth. It does not describe return values, but since there is no output schema, this is a minor gap. The description is sufficiently complete for a tool of this complexity.

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 description coverage is 100%, so a baseline of 3 applies. The description adds meaningful guidance by noting the two input alternatives ('Markdown file or raw Markdown text'), which clarifies the relationship between markdown_path and markdown. It also mentions title defaults, reinforcing the schema information.

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 uses a specific verb ('Upload') and clearly identifies the resource ('Markdown file... to Google Drive as a native Google Doc') and the action's scope (preserving formatting). It also distinguishes from the sibling md_to_pdf by targeting Google Docs rather than PDF output.

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—converting markdown into a Google Doc—but does not explicitly state when to use this tool versus the sibling md_to_pdf. It does provide context (requires auth) but lacks exclusion criteria or alternative guidance.

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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