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c0webster

Hardened Google Workspace MCP

by c0webster

reply_to_document_comment

Respond to specific comments in Google Docs using a secure integration that prevents data exfiltration while enabling collaborative document management.

Instructions

Reply to a specific comment in a Google Document.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes
document_idYes
comment_idYes
reply_contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 the action ('Reply to') but doesn't mention required permissions, whether this is a write operation, potential side effects, rate limits, or what the output contains. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence with zero waste, front-loading the core purpose. It's appropriately sized for the tool's complexity, though this brevity contributes to gaps in other dimensions.

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 the tool's complexity (a mutation operation with 4 required parameters), no annotations, and 0% schema coverage, the description is incomplete. While an output schema exists, the description doesn't address behavioral aspects like permissions or side effects, leaving significant gaps for agent understanding.

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 by explaining parameters. It adds no meaning beyond what the schema provides—no clarification on what 'user_google_email', 'document_id', 'comment_id', or 'reply_content' represent, their formats, or examples. This fails to address the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Reply to') and target resource ('a specific comment in a Google Document'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from its siblings like 'reply_to_presentation_comment' or 'reply_to_spreadsheet_comment' beyond the document type, missing explicit differentiation.

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. The description lacks context about prerequisites (e.g., needing an existing comment), exclusions, or comparisons to sibling tools like 'create_document_comment' or 'resolve_document_comment', leaving usage unclear.

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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