Google Workspace MCP Server

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

With no annotations provided, the description carries full burden but only states the basic action without disclosing key behavioral traits. It doesn't mention whether this is a read-only operation (implied but not explicit), potential rate limits, authentication needs, error conditions, or how comments are returned (e.g., format, pagination). This leaves significant gaps in understanding the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with no wasted words, making it easy to parse quickly. It front-loads the core purpose ('Read all comments') and specifies the resource without unnecessary elaboration, achieving optimal conciseness for a simple tool.

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

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

Given the tool's low complexity (2 required parameters) and the presence of an output schema (which should cover return values), the description is minimally adequate but incomplete. It lacks context on authentication, error handling, and parameter semantics, which are crucial for effective use despite the output schema handling return structure.

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

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

Schema description coverage is 0%, so the schema provides no parameter details beyond names and types. The description adds no information about the parameters, such as what 'document_id' refers to (e.g., Google Docs ID format) or why 'user_google_email' is required (e.g., for authentication or filtering). This fails to compensate for the low schema coverage, leaving parameters poorly understood.

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

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

The description clearly states the action ('Read all comments') and resource ('from a Google Document'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'read_presentation_comments' or 'read_spreadsheet_comments' beyond specifying the document type, missing an opportunity to highlight unique scope or behavior.

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

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 like 'get_doc_content' (which might include comments) or other comment-reading tools for different Google Workspace apps. It lacks context about prerequisites, such as needing document access or when batch operations are preferable, leaving usage decisions ambiguous.

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