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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

create_document_comment

Add a comment to a Google Document by specifying the user's email, document ID, and comment content.

Instructions

Create a new comment on a Google Document.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
document_idYes
comment_contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must bear the full burden of behavioral disclosure. It only states the action (create) without mentioning side effects, required permissions, error conditions, or return values. This is insufficient for an agent to predict tool behavior.

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 a single, concise sentence with no extraneous words. It front-loads the main action. However, conciseness sacrifices necessary detail; a slightly longer description could improve completeness without losing efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given three required parameters and no annotations or output schema details (despite 'Has output schema: true'), the description fails to explain return values, error handling, or parameter relationships. The agent lacks key information to use the tool correctly.

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

Parameters1/5

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

The input schema lists three parameters with zero description coverage. The tool description does not clarify their meanings: for example, what user_google_email represents (e.g., comment author or target user), expected format for comment_content, or constraints on document_id. The agent receives no semantic guidance beyond parameter names.

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 'Create a new comment on a Google Document' uses a specific verb and resource, clearly distinguishing the tool's action from sibling tools like read_document_comments or reply_to_document_comment. The combination of tool name and description leaves no ambiguity about its purpose.

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?

The description provides no guidance on when to use this tool versus alternatives such as create_presentation_comment or create_spreadsheet_comment. It offers no prerequisites, context for use, or exclusions, leaving the agent without decision support.

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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