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 clearly indicates this is a read operation ('Reads values'), which is helpful, but doesn't mention authentication requirements, rate limits, error conditions, or what happens with invalid ranges. It adds some context but leaves significant behavioral aspects unspecified.

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 (Args, Returns) and front-loaded purpose statement. While efficient, the parameter explanations could be slightly more concise, and the Returns section repeats 'formatted values' without fully explaining the output format beyond the string type.

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 (4 parameters, read operation) and the presence of an output schema (though not shown in context), the description provides good coverage. It explains all parameters thoroughly and states the return type, though additional context about authentication or error handling would make it more complete for a tool with no annotations.

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 fully compensates by providing detailed parameter documentation in the Args section. Each parameter is clearly explained with examples (e.g., 'Sheet1!A1:D10'), default values, and enum descriptions. This adds substantial meaning beyond what the bare schema provides.

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 specific action ('Reads values') and resource ('from a specific range in a Google Sheet'), distinguishing it from sibling tools like 'get_spreadsheet_info' or 'modify_sheet_values'. It precisely defines the tool's scope as reading values rather than metadata or performing modifications.

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 implies usage by specifying what the tool does, but doesn't explicitly state when to use it versus alternatives like 'get_spreadsheet_info' for metadata or 'modify_sheet_values' for writing. It provides context about reading ranges but lacks explicit guidance on tool selection scenarios.

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