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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

insert_doc_elements

Insert tables, lists, or page breaks into Google Docs at a specified position. Supports dry run to preview changes before applying.

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 dry_run: When True (default), return planned mutation without executing it

Returns: str: Confirmation message with insertion details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
document_idYes
element_typeYes
indexYes
rowsNo
columnsNo
list_typeNo
textNo
dry_runNo

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 the full burden. It explains the dry_run behavior (returns planned mutation without executing) and the return type (str with confirmation message). However, it does not disclose permissions, reversibility, or error scenarios, which are important for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear Args and Returns sections. While it is somewhat verbose, most sentences serve a purpose. A slight reduction in length could improve conciseness, but the current organization is effective.

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 tool's complexity (9 parameters, 4 required), the description covers all parameters, return type, and the dry_run behavior. It provides sufficient context for an agent to use the tool correctly, though additional constraints (e.g., valid index values) are not detailed.

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?

Schema coverage is 0%, but the description compensates with detailed parameter explanations in the Args section. It clarifies required vs optional parameters and conditions (e.g., 'rows required for table'). This adds meaning beyond the schema's type and default information.

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 purpose: inserting structural elements (tables, lists, page breaks) into a Google Doc. It uses a specific verb and resource, and differentiates from sibling tools like insert_doc_image and insert_markdown by focusing on structural elements.

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 includes the dry_run parameter with default True, indicating a planning mode, but does not explicitly state when to use this tool versus alternatives like batch_update_doc or modify_doc_text. The context is provided but exclusions are absent.

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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