Skip to main content
Glama

Manage Spreadsheet Comment

manage_spreadsheet_comment

Create, reply to, and resolve comments on Google Sheets cells. Manage comment threads directly by specifying the spreadsheet and comment details.

Instructions

Manage comments on a Google Spreadsheet.

Actions:

  • create: Create a new comment. Requires comment_content. Note: The Drive API cannot anchor comments to arbitrary text; Sheets comments are cell-scoped via the API.

  • reply: Reply to a comment. Requires comment_id and comment_content.

  • resolve: Resolve a comment. Requires comment_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
comment_idNo
spreadsheet_idYes
comment_contentNo
user_google_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already signal write behavior via readOnlyHint=false, and the description adds a meaningful operational caveat: the Drive API cannot anchor comments to arbitrary text and Sheets comments are cell-scoped. This goes beyond the annotations without contradicting them.

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 compact and front-loaded, with each bullet contributing either a clear action definition or a critical API limitation. The cell-scoping note is the only extra detail and it adds genuine value.

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?

For a multi-action mutation tool with no schema-level parameter descriptions, the definition covers the main invocation paths and required fields, and the output schema can handle return values. Minor gaps remain around exact action enum values and the meaning of user_google_email, but these do not block correct usage.

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?

With 0% schema description coverage, the description compensates by tying parameter requirements to specific actions, clarifying the roles of comment_content and comment_id. It does not explain user_google_email or spreadsheet_id, but those are largely inferable from their names and the tool's Google Workspace context.

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 states a specific verb-resource pair, 'Manage comments on a Google Spreadsheet,' and breaks out concrete actions: create, reply, and resolve. This makes it clearly distinct from sibling tools like manage_document_comment and manage_presentation_comment.

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

Usage Guidelines4/5

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

The action list gives clear context for when to use the tool and what each action requires, such as 'create: ... Requires comment_content' and 'reply: ... Requires comment_id and comment_content.' It does not explicitly name alternatives or exclusions, but the usage boundaries are unambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/WorldCentralKitchen/google_workspace_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server