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 effectively describes key behaviors: the tool performs write operations (create, reply, resolve), notes API limitations ('Drive API cannot anchor comments to specific text'), and specifies parameter requirements per action. It doesn't cover error conditions, rate limits, or authentication needs, but provides substantial operational context beyond basic purpose.

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: a clear purpose statement followed by bullet-pointed actions with specific notes. Every sentence earns its place by explaining action requirements and API constraints. No wasted words, front-loaded with the core purpose.

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 no annotations, 5 parameters with 0% schema coverage, and an output schema (which handles return values), the description does well but has gaps. It covers the tool's purpose, actions, and some parameter semantics, but doesn't explain all parameters or address error handling. The output schema relieves the description from explaining returns, making it reasonably complete for a multi-action 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 for 5 parameters, the description must compensate. It successfully explains the semantics of 'action' (create, reply, resolve) and ties 'comment_content' and 'comment_id' to specific actions. However, it doesn't clarify 'user_google_email' or 'document_id' purposes, leaving two parameters without semantic explanation in either schema or description.

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 Document' with specific actions (create, reply, resolve). It distinguishes from sibling tools like 'list_document_comments' (which only lists) and 'manage_presentation_comment' (which targets presentations). The verb 'manage' plus resource 'comments on a Google Document' is precise and differentiated.

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 context for when to use each action (e.g., 'create' for new comments, 'reply' for responses, 'resolve' for closing comments) and specifies required parameters per action. However, it doesn't explicitly state when NOT to use this tool or mention alternatives like 'list_document_comments' for viewing only, leaving some guidance implicit rather than explicit.

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