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redesignhealth

Google Workspace MCP Server

reply_to_document_comment

Reply to a specific comment in a Google Document by providing the document ID, comment ID, and your reply content.

Instructions

Reply to a specific comment in a Google Document.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
comment_idYes
document_idYes
reply_contentYes
user_google_emailYes

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 carries the full burden of behavioral disclosure. It only states the action but omits critical traits: whether it requires write permissions, whether it has side effects (e.g., email notifications), reversibility, rate limits, or how authentication is handled. This is a bare statement with none of these operational details.

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 a single concise sentence, front-loaded with the verb and object, and contains no filler. Every word earns its place, making it highly efficient.

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?

The tool is simple but still needs context: how to obtain the comment_id, whether prior authentication is required, and what the output schema contains (present but not shown). With no annotations and sparse parameter documentation, the description is not complete enough for an agent to confidently invoke the tool without additional assumptions.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only mentions 'specific comment', which maps vaguely to comment_id, but it does not explain the purpose of user_google_email, document_id, or reply_content, nor their expected format (e.g., plain text). The property names give some clue, but the description adds no additional semantic value beyond what the schema already exposes.

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 action: 'Reply to a specific comment in a Google Document.' It uses a specific verb ('reply') and resource ('comment in a Google Document'), which distinguishes it from sibling tools like create_document_comment or resolve_document_comment. The wording is unambiguous and self-contained.

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 usage: when the user wants to reply to an existing comment. However, it does not provide explicit guidance on prerequisites (e.g., must first retrieve comments via read_document_comments to obtain a comment_id) or mention any alternatives. There are no exclusions, but also no practical context for invocation, so it stops at implied usage.

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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