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 reads comments but doesn't specify aspects like authentication requirements, rate limits, error handling, or the format of returned data (e.g., pagination, structure). This leaves significant gaps in understanding how the tool behaves in practice.

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, direct sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every part of the sentence contributes essential information.

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 parameters) and the presence of an output schema (which handles return values), the description covers the basic purpose adequately. However, the lack of annotations and parameter details means it doesn't fully prepare the agent for practical use, such as understanding authentication or input formats.

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 provides no information about the two required parameters ('spreadsheet_id' and 'user_google_email'), and the schema description coverage is 0%. This means the agent must rely solely on parameter names to infer meaning, which is insufficient for effective tool invocation.

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 Spreadsheet'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'read_document_comments' or 'read_presentation_comments', but the specificity about spreadsheet comments is adequate for clarity.

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?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites, context for usage, or comparisons to similar 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.