Google Workspace MCP VE

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 mentions 'Updates', implying a mutation, but fails to describe critical aspects like required permissions, whether changes are reversible, side effects, or response format. This leaves significant gaps in understanding the tool's behavior and risks.

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, direct sentence with no wasted words, making it highly concise and front-loaded. It efficiently communicates the core action without unnecessary elaboration, earning full marks for clarity and brevity.

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 with 4 parameters), lack of annotations, and presence of an output schema, the description is minimally adequate. It states the purpose but misses behavioral context and usage guidelines. The output schema likely covers return values, so the description doesn't need to explain those, but overall completeness is limited to the basic function.

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 100% description coverage, clearly documenting all four parameters (e.g., 'user_google_email' as required, 'publish_as_template' defaulting to false). The description adds no additional parameter details beyond what the schema provides, so it meets the baseline score of 3 for adequate but not enhanced semantic value.

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 ('Updates') and resource ('publish settings of a form'), making the purpose immediately understandable. However, it does not differentiate this tool from similar siblings like 'batch_update_form' or 'update_drive_file', which could also involve updates, leaving room for ambiguity in a crowded toolset.

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, prerequisites, or specific contexts. With many sibling tools involving updates (e.g., 'batch_update_form', 'update_drive_file'), the lack of differentiation means users must infer usage from the tool name alone, which is insufficient for effective selection.

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