Google Workspace MCP

read_google_doc

Extract structured JSON data from Google Docs including text, tables, and image metadata for programmatic access and data processing.

Instructions

Read a Google Doc as structured JSON with text, tables, and image metadata.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "document_id_or_url": "<document_id_or_url>"
    },
    "name": "read_google_doc"
  }
}

Input Schema

Name	Required	Description	Default
`document_id_or_url`	Yes
`tab_id`	No
`download_images`	No
`output_dir`	No

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.4.0Mar 12, 2026

TDQS

B3.3/5.0

Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic operation. It doesn't disclose behavioral traits such as authentication needs, rate limits, error handling, or whether it's a read-only operation (implied but not explicit). The description doesn't add meaningful context beyond the basic function.

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, efficient sentence that front-loads the core purpose. Every word earns its place by specifying the action, target, and output format without unnecessary elaboration.

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?

Given the tool's moderate complexity (4 parameters, no annotations) and the presence of an output schema, the description is minimally adequate. It covers the basic purpose but lacks crucial context like authentication, error cases, or parameter usage. The output schema likely handles return values, but the description doesn't address behavioral or usage 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?

Schema description coverage is 0%, so the description must compensate but provides no parameter information. It doesn't explain what 'document_id_or_url' format is expected, what 'tab_id' refers to, or how 'download_images' and 'output_dir' interact. However, with 4 parameters and an output schema present, the baseline is 3 as the schema provides structure but no semantic context.

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 specific action ('Read a Google Doc') and the output format ('as structured JSON with text, tables, and image metadata'). It distinguishes from siblings like 'export_google_file' or 'read_sheet_grid' by specifying it's for Google Docs with JSON output containing specific content types.

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 is provided on when to use this tool versus alternatives. For example, it doesn't mention when to use 'read_google_doc' versus 'export_google_file' or 'download_google_doc_images', nor does it specify prerequisites like authentication or document access requirements.

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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