Google Workspace MCP Server

by tom275275

Overview Schema Source Related Servers Discussions Admin

Python

Remote

batch_update_form

Apply batch updates to a Google Form by adding, updating, or deleting form items, and changing metadata or settings.

Instructions

Apply batch updates to a Google Form.

Supports adding, updating, and deleting form items, as well as updating form metadata and settings. This is the primary method for modifying form content after creation.

Args: user_google_email (str): The user's Google email address. Required. form_id (str): The ID of the form to update. requests (List[Dict[str, Any]]): List of update requests to apply. Supported request types: - createItem: Add a new question or content item - updateItem: Modify an existing item - deleteItem: Remove an item - moveItem: Reorder an item - updateFormInfo: Update form title/description - updateSettings: Modify form settings (e.g., quiz mode)

Returns: str: Details about the batch update operation results.

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": {
      "user_google_email": "<user_google_email>",
      "form_id": "<form_id>",
      "requests": "<requests>"
    },
    "name": "batch_update_form"
  }
}

Input Schema

Name	Required	Description	Default
`form_id`	Yes
`requests`	Yes
`user_google_email`	Yes

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.14.3Sep 6, 2026

TDQS

A4.2/5.0

Behavior3/5

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

There are no annotations, so the description must carry the behavioral transparency burden. It does a reasonable job by listing supported request types and explicitly mentioning deleteItem, which signals destructive potential, and by stating that it returns a string with operation details. However, it does not disclose side effects such as whether deletions are reversible, whether requests apply atomically, or what authentication/permissions are required.

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 well structured and efficiently written: a concise summary, a clear usage positioning sentence, a labeled Args section, and a Returns line. Every section earns its place, and the most important information about what the tool does is front-loaded.

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?

For a tool with 3 required parameters, a complex batch request payload, and no annotations, the description is fairly complete: it covers purpose, supported operations, parameter roles, and output type. The output schema exists, so the description need not detail return structure further. The main gap is that it does not specify the exact shape of individual update request objects or note any usage restrictions, but the provided request-type list gives an agent enough context to proceed.

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?

The input schema provides no descriptions and has 0% schema coverage, but the description compensates with a clear Args section that explains each parameter's type and role. It also documents the primary 'requests' parameter by enumerating supported request types like createItem, updateItem, deleteItem, and updateFormInfo, which the schema itself does not convey. It falls short of detailing the full structure of each request type, but it adds substantial meaning beyond the bare schema.

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 opens with a specific verb-resource pair ('Apply batch updates to a Google Form') and enumerates exactly what is supported: adding, updating, deleting items, and updating metadata/settings. It also distinguishes itself by calling out that it is 'the primary method for modifying form content after creation,' which separates it from create_form, get_form, and set_publish_settings siblings.

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 explicitly positions the tool as the primary method for modifying a form after creation, giving clear contextual guidance on when it applies. It does not name alternatives or state when not to use it, but the 'after creation' framing is enough to route an agent toward this tool for edits rather than other form-related siblings.

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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