Google Workspace MCP VE

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 does well by specifying required parameters for each action and noting API limitations about comment anchoring. However, it doesn't mention permission requirements, rate limits, error conditions, or what the output contains. The description adds value but doesn't fully compensate for the lack of annotations.

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 perfectly structured and concise. It starts with a clear purpose statement, then provides an organized bullet list of actions with their requirements. The note about API limitations is brief but valuable. Every sentence earns its place with no wasted words.

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 complexity (5 parameters, 3 actions, no annotations, but with output schema), the description does well. It covers the core functionality, action requirements, and a key API limitation. The presence of an output schema means it doesn't need to describe return values. However, it could benefit from mentioning permission requirements or error scenarios for a mutation tool.

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?

With 0% schema description coverage, the description must compensate, which it does effectively. It explains the meaning of 'action' values (create, reply, resolve) and specifies which parameters are required for each action (comment_content for create, comment_id and comment_content for reply, comment_id for resolve). It also clarifies that spreadsheet_id and user_google_email are required for all actions. The only gap is not explaining the purpose of user_google_email.

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 tool's purpose: 'Manage comments on a Google Spreadsheet' with specific actions (create, reply, resolve). It distinguishes itself from sibling tools like 'list_spreadsheet_comments' or 'manage_document_comment' by focusing on spreadsheet-specific comment management. However, it doesn't explicitly contrast with these siblings in the description text.

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 clear usage context through the action breakdown, specifying when each action is appropriate and what parameters they require. It includes a helpful note about API limitations (comments are cell-scoped). However, it doesn't explicitly state when NOT to use this tool or mention direct alternatives among siblings.

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