Google Workspace MCP Server

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 tool retrieves content (implying read-only) and mentions the return format ('formatted for reading'), but lacks details on permissions, rate limits, error handling, or whether it requires specific Gmail access scopes. For a tool with zero annotation coverage, this is insufficient.

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 well-structured with clear sections (purpose, Args, Returns) and uses minimal sentences. Every sentence adds value: the first states the purpose, the Args explain parameters, and the Returns clarifies output. It could be slightly more concise by integrating the Args into the main text, but overall it's efficient.

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 moderate complexity (2 parameters, no annotations, but has an output schema), the description is partially complete. It covers the purpose and parameters, and the output schema handles return values, but it lacks behavioral context (e.g., auth needs, error cases) and usage guidelines compared to siblings. For a read operation with output schema, it's adequate but has clear gaps.

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?

The description includes an 'Args' section that explains both parameters: thread_id ('The unique ID of the Gmail thread to retrieve') and user_google_email ('The user's Google email address. Required.'). However, with 0% schema description coverage, the schema provides no additional documentation. The description compensates adequately by documenting both parameters, but doesn't elaborate on format (e.g., thread_id structure) beyond basic semantics.

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: 'Retrieves the complete content of a Gmail conversation thread, including all messages.' It specifies the verb (retrieves), resource (Gmail thread content), and scope (complete with all messages). However, it doesn't explicitly differentiate from sibling tools like 'get_gmail_message_content' or 'get_gmail_threads_content_batch', which would be needed for a perfect score.

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. It doesn't mention sibling tools like 'get_gmail_message_content' (for single messages) or 'get_gmail_threads_content_batch' (for multiple threads), nor does it specify prerequisites or contextual constraints beyond the required parameters.

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