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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

read_document_comments

Read all comments from a Google Document to quickly review feedback. Just provide your email and the document ID to get started.

Instructions

Read all comments from a Google Document.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
document_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.10

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states only that it reads comments, but does not explain whether replies are included, whether resolved comments are returned, authentication requirements, or any side effects. This lacks sufficient transparency for a tool with zero annotation support.

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 wasted words, making it efficiently structured and front-loaded. However, it is arguably too sparse, missing useful information, though conciseness itself is well handled.

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 minimally described with only one sentence, no annotations, and no parameter details. Although an output schema exists, important context such as prerequisites, behavior regarding comment threads/replies, and user authorization is absent. This makes the description insufficient for reliable tool selection and invocation.

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%, and the description adds no information about the parameters. While 'document_id' is fairly self-explanatory, 'user_google_email' is ambiguous—does it identify whose comments to read or the authenticated user? The description does not clarify this, failing to compensate for the missing schema descriptions.

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 uses a specific verb and resource: 'Read all comments from a Google Document.' This clearly states the tool's function and distinguishes it from sibling tools like 'read_presentation_comments' or 'create_document_comment' by specifying the document type and action.

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?

No guidance is provided on when to use this tool versus alternatives such as read_presentation_comments or reply_to_document_comment. The intended use is only implied by the tool name and description, but no explicit context or exclusions are given.

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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