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 mentions the return type (URL) but lacks critical details: whether this requires specific permissions, if the URL is ephemeral or persistent, rate limits, error conditions (e.g., invalid page ID), or if it triggers external API calls. For a tool generating URLs with user credentials, this is insufficient.

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 and front-loaded: the first sentence states the core purpose, followed by a clear Args/Returns breakdown. Every sentence adds value—no fluff or repetition. It efficiently communicates essential information in minimal space.

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 has output schema), the description is partially complete. It covers parameters and return type adequately, but lacks behavioral context (e.g., permissions, URL lifespan). The output schema reduces the need to detail return values, but gaps in usage and transparency remain.

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. It effectively explains all 4 parameters: user_google_email clarifies it's for authentication, presentation_id and page_object_id specify the target, and thumbnail_size defines options with defaults. However, it doesn't detail format constraints (e.g., ID structure) or enum values beyond size examples, leaving minor gaps.

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 target resource ('for a specific page (slide) in a presentation'), distinguishing it from sibling tools like get_presentation or get_page which retrieve different content. It precisely communicates the tool's function without ambiguity.

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., authentication status), compare it to similar tools like get_drive_file_download_url, or specify use cases (e.g., embedding thumbnails in reports). The agent must infer usage from the purpose alone.

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