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Get Doc Content

get_doc_content
Read-onlyIdempotent

Retrieve document content from Google Docs and Drive files (like .docx) by providing the document ID and user email. Choose how suggestions appear.

Instructions

Retrieves content of a Google Doc or a Drive file (like .docx) identified by document_id.

  • Native Google Docs: Fetches content via Docs API.

  • Office files (.docx, etc.) stored in Drive: Downloads via Drive API and extracts text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesUser's Google email address
document_idYesID of the Google Doc (or full URL)
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 readOnlyHint=true, etc. The description adds that it uses Docs API for native Docs and Drive API for .docx with text extraction, providing useful behavioral context beyond annotations. No contradictions.

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 two sentences and a bullet point, front-loading the core purpose. Every sentence is necessary, and there is no wasted text.

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 the presence of an output schema, the description does not need to explain return values. It covers main functionality well, though it lacks some edge-case details like handling of unsupported file types.

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%, with each parameter described in the schema. The description adds context about file types but does not provide additional parameter semantics beyond what's already in the schema. Baseline 3 is appropriate.

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 it retrieves content of a Google Doc or Drive file (like .docx) by document_id, distinguishing between native Google Docs and Office files. This is specific and differentiates from siblings like get_doc_as_markdown or get_drive_file_content.

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 explains the tool handles both native Docs and Office files, providing clear context. However, it does not explicitly mention when not to use it or compare to alternatives like get_doc_as_markdown. Still, the usage context is clear.

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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