Skip to main content
Glama

Get Doc as Markdown

get_doc_as_markdown
Read-onlyIdempotent

Read a Google Doc and return it as clean Markdown, preserving headings, lists, tables, and inline formatting. Optionally include comments with anchor text for context.

Instructions

Reads a Google Doc and returns it as clean Markdown with optional comment context.

Unlike get_doc_content which returns plain text, this tool preserves document formatting as Markdown: headings, bold/italic/strikethrough, links, code spans, ordered/unordered lists with nesting, and tables.

When comments are included (the default), each comment's anchor text — the specific text the comment was attached to — is preserved, giving full context for the discussion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesUser's Google email address
document_idYesID of the Google Doc (or full URL)
include_commentsNoWhether to include comments (default: True)
comment_modeNoHow to display comments: - "inline": Footnote-style references placed at the anchor text location (default) - "appendix": All comments grouped at the bottom with blockquoted anchor text - "none": No comments includedinline
include_resolvedNoWhether to include resolved comments (default: False)
suggestions_view_modeNoHow to render suggestions in the returned content: - "DEFAULT_FOR_CURRENT_ACCESS": Default based on user's access level - "SUGGESTIONS_INLINE": Suggested changes appear inline in the document - "PREVIEW_SUGGESTIONS_ACCEPTED": Preview as if all suggestions were accepted - "PREVIEW_WITHOUT_SUGGESTIONS": Preview as if all suggestions were rejectedDEFAULT_FOR_CURRENT_ACCESS

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate safe read-only idempotent behavior. Description adds valuable context: preservation of formatting as Markdown, comment inclusion modes, anchor text preservation, and suggestions handling.

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?

Three efficient paragraphs: purpose first, then key differentiator, then comment behavior. Every sentence contributes value, no redundancy.

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 6 parameters with full schema coverage and an output schema, the description explains the core behavior, comment modes, and anchoring. Complete for agent's decision-making.

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 6 parameters with descriptions (100% coverage). The tool description adds overall behavioral nuance but does not substantially enhance per-parameter understanding beyond what schema provides.

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?

Clearly states it reads a Google Doc and returns clean Markdown, and explicitly distinguishes from sibling get_doc_content which returns plain text.

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?

Provides clear contrast with get_doc_content, indicating when to use this tool (for formatted Markdown) vs plain text. Lacks explicit 'when not to use' but the sibling differentiation is strong.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/chadvdwww-hash/worksuite-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server