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 tool generates a URL but doesn't clarify if this requires specific permissions (e.g., view access to the presentation), whether the URL is ephemeral or persistent, or any rate limits. For a tool with authentication parameters and no annotations, this is a significant gap in transparency.

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 appropriately sized and front-loaded, with the core purpose in the first sentence followed by structured parameter and return details. Every sentence adds value, though the 'Args' and 'Returns' sections could be integrated more seamlessly. It avoids redundancy and is easy to parse.

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, no annotations, but with an output schema), the description is partially complete. It covers parameters well but lacks behavioral context (e.g., authentication needs, URL validity). The output schema exists, so the description doesn't need to detail return values, but overall it's adequate with clear gaps in usage and transparency.

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 adds substantial meaning beyond the input schema, which has 0% description coverage. It explains each parameter's purpose: 'user_google_email' as the user's email, 'presentation_id' as the ID of the presentation, 'page_object_id' as the object ID of the page/slide, and 'thumbnail_size' with its enum values and default. This compensates well for the schema's lack of descriptions.

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 ('Generate a thumbnail URL') and resource ('for a specific page/slide in a presentation'), distinguishing it from siblings like 'get_presentation' or 'get_page' which retrieve content rather than generate visual representations. The verb 'generate' is precise and differentiates the tool's function.

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 access to the presentation), compare it to similar tools like 'get_page' (which might retrieve slide content without a thumbnail), or specify use cases (e.g., for previews or embedding). This leaves the agent without context for tool selection.

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