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redesignhealth

Google Workspace MCP Server

insert_doc_elements

Insert tables, lists, or page breaks into Google Docs at a specified position. Provide document ID, element type, and index to update the document structure.

Instructions

Inserts structural elements like tables, lists, or page breaks into a Google Doc.

Args: user_google_email: User's Google email address document_id: ID of the document to update element_type: Type of element to insert ("table", "list", "page_break") index: Position to insert element (0-based) rows: Number of rows for table (required for table) columns: Number of columns for table (required for table) list_type: Type of list ("UNORDERED", "ORDERED") (required for list) text: Initial text content for list items

Returns: str: Confirmation message with insertion details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsNo
textNo
indexYes
columnsNo
list_typeNo
document_idYes
element_typeYes
user_google_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses conditional parameter requirements (rows/columns for tables, list_type/text for lists) and the return type (confirmation string). However, it does not mention side effects like content shifting, required permissions, or failure modes, leaving some behavioral ambiguity.

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: purpose statement followed by a clear Args list and Returns section. Every sentence is informative, with no redundancy or fluff. The front-loaded purpose immediately conveys the tool's function.

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 complexity (8 parameters, conditional logic), the description thoroughly covers purpose, parameters, and return value. It lacks error-handling details or edge-case behavior, but the provided information is sufficient for basic invocation. The presence of an output schema reduces the need to describe return format in depth.

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%, but the description rigorously documents all 8 parameters, including enums ('UNORDERED', 'ORDERED'), conditional requirements, and the meaning of 'text' for list items. This fully compensates for missing schema descriptions and adds significant semantic value.

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 'Inserts structural elements like tables, lists, or page breaks into a Google Doc.' This is a specific verb (inserts), a clear resource (Google Doc), and explicit element types. It distinguishes itself from sibling tools like insert_doc_image (images) and modify_doc_text (text).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies its use for inserting structural elements, but it does not explicitly state when to use this tool versus alternatives such as create_table_with_data or modify_doc_text. No exclusions or alternative tool names are provided, leaving the agent to infer the appropriate context.

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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