Google Workspace MCP Server

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('Reply to') but doesn't cover critical aspects like required permissions (e.g., edit access to the presentation), whether replies are editable/deletable, rate limits, or error conditions (e.g., invalid comment_id). For a mutation tool with zero annotation coverage, this is a significant gap.

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 zero wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place by conveying essential 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 moderate complexity (a mutation with 4 required parameters), no annotations, and 0% schema coverage, the description is incomplete. However, the presence of an output schema reduces the need to explain return values. The description covers the basic action but lacks details on parameters, behavioral traits, and usage context, making it minimally adequate but with 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?

Schema description coverage is 0%, meaning none of the 4 parameters have descriptions in the schema. The tool description provides no additional information about parameter meanings (e.g., what format comment_id or presentation_id should be, whether user_google_email must match the authenticated user). This leaves all parameters undocumented, failing to compensate 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 verb ('Reply to') and resource ('a specific comment in a Google Presentation'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'reply_to_document_comment' or 'reply_to_spreadsheet_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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., needing comment access), exclusions, or comparisons to sibling tools like 'resolve_presentation_comment' or 'create_presentation_comment', leaving the agent to infer usage context.

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