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 the tool 'resolves' a comment, implying a mutation operation, but does not clarify what 'resolve' entails (e.g., marking as resolved vs. deleting), whether it requires specific permissions, or what the output looks like. This leaves significant gaps in understanding the tool's behavior and effects.

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, efficient sentence with no wasted words. It is front-loaded with the core action and resource, making it easy to parse quickly. Every word contributes directly to stating the tool's 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 the tool's complexity (a mutation operation with 3 parameters), lack of annotations, and 0% schema coverage, the description is incomplete. While an output schema exists (which reduces the need to explain return values), the description does not address key contextual aspects like behavioral implications, parameter meanings, or usage guidelines, making it insufficient for informed tool selection.

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 input schema has 0% description coverage, meaning all three parameters are undocumented. The description does not add any meaning beyond the schema—it does not explain what 'user_google_email', 'spreadsheet_id', or 'comment_id' represent or how to obtain them. With low schema coverage, the description fails to compensate, leaving parameters semantically unclear.

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 ('Resolve') and target resource ('a comment in a Google Spreadsheet'), providing a specific verb+resource combination. However, it does not distinguish this tool from sibling tools like 'resolve_document_comment' or 'resolve_presentation_comment', which perform similar actions on different Google Workspace resources.

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 does not mention prerequisites (e.g., needing an unresolved comment), exclusions, or comparisons to sibling tools like 'reply_to_spreadsheet_comment', leaving the agent to infer usage context solely from the tool name and parameters.

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