Hardened Google Workspace MCP

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 a read operation but doesn't cover critical aspects like authentication needs (implied by 'user_google_email' parameter), rate limits, pagination, error handling, or what the output contains. This leaves significant gaps for a tool that interacts with external APIs.

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 zero waste. It's front-loaded with the core purpose and appropriately sized for a simple tool, making it easy to parse quickly.

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 (external API interaction, 2 required parameters) and the presence of an output schema (which reduces need to describe return values), the description is minimally adequate. However, with no annotations and poor parameter documentation, it lacks completeness for safe and effective use by an AI agent.

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 schema description coverage is 0%, meaning both parameters are undocumented in the schema. The description adds no information about what 'user_google_email' and 'spreadsheet_id' represent, their formats, or how to obtain them. For a tool with 2 required parameters, this is insufficient compensation for the schema gap.

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') and resource ('all comments from a Google Spreadsheet'), providing specific verb+resource pairing. However, it doesn't explicitly differentiate from sibling tools like 'read_document_comments' or 'read_presentation_comments' beyond the spreadsheet context, which is why it doesn't reach a perfect 5.

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 offers no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context for use, or compare it to related tools like 'get_spreadsheet_info' or 'read_sheet_values', leaving the agent to infer usage based on the name alone.

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