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 creates a comment but offers no details on permissions required (e.g., editor role), whether the comment is public or private, how it appears in the presentation, or what happens on failure. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior and constraints.

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 that directly states the tool's action and target. It's front-loaded with the core purpose and wastes no words, making it easy to parse quickly. Every part of the sentence contributes essential information without redundancy.

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 3 parameters) and the presence of an output schema (which reduces the need to describe return values), the description is partially adequate. However, with no annotations and 0% schema coverage, it fails to address key aspects like parameter semantics, behavioral traits, and usage context, leaving the agent with insufficient information to use the tool effectively beyond its basic intent.

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%, so the description must compensate by explaining parameters, but it adds no meaning beyond what the schema provides. The three required parameters ('user_google_email', 'presentation_id', 'comment_content') are undocumented in both the schema and description, leaving their purposes, formats, and constraints unclear. The description doesn't even hint at what these parameters represent.

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 ('Create a new comment') and resource ('on a Google Presentation'), making the purpose immediately understandable. It distinguishes this tool from siblings like 'create_document_comment' and 'create_spreadsheet_comment' by specifying the presentation context, though it doesn't explicitly differentiate from 'reply_to_presentation_comment' or 'resolve_presentation_comment' in terms of comment type or state.

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 doesn't mention prerequisites (e.g., needing edit access to the presentation), compare it to sibling tools like 'reply_to_presentation_comment' or 'resolve_presentation_comment', or indicate scenarios where it's appropriate (e.g., initial feedback vs. threaded replies). Usage is implied only by the tool name and basic action.

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