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redesignhealth

Google Workspace MCP Server

batch_update_doc

Apply multiple operations to a Google Doc in one atomic batch: insert, delete, replace, format text, add tables or page breaks.

Instructions

Executes multiple document operations in a single atomic batch update.

Args: user_google_email: User's Google email address document_id: ID of the document to update operations: List of operation dictionaries. Each operation should contain: - type: Operation type ('insert_text', 'delete_text', 'replace_text', 'format_text', 'insert_table', 'insert_page_break') - Additional parameters specific to each operation type

Example operations: [ {"type": "insert_text", "index": 1, "text": "Hello World"}, {"type": "format_text", "start_index": 1, "end_index": 12, "bold": true}, {"type": "insert_table", "index": 20, "rows": 2, "columns": 3} ]

Returns: str: Confirmation message with batch operation results

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationsYes
document_idYes
user_google_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses key behavioral traits: operations are executed in a single atomic batch, and it also lists supported operation types and the return format. It does not cover error handling or permission requirements, but the provided details are substantial.

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-organized with clear sections (Args, Example operations, Returns), front-loads the core purpose, and contains no superfluous information. Every sentence adds value, making it appropriately sized for the tool's complexity.

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 batch update tool, the description provides the essential elements: purpose, parameter examples, and return type. It does not cover edge cases like validation failures or whether all operation types are equally supported, but given no annotations or output schema details, it is reasonably complete for an agent to select and invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must fully explain parameters. It does this well: each parameter is described concisely, and the complex 'operations' parameter is given structure with allowed types and a concrete example. This goes beyond the basic baseline required.

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 tool's function: 'Executes multiple document operations in a single atomic batch update.' This specifies a verb (executes), a resource (document operations), and the batch/atomic nature, which distinguishes it from single-operation siblings like modify_doc_text or insert_doc_elements.

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 implies the tool is for performing multiple document operations atomically, which gives clear contextual usage. However, it does not explicitly name alternative tools or state when not to use it, so it stops short of a full 5.

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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