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 full responsibility for behavioral disclosure. While 'Apply batch updates' implies a write/mutation operation, it doesn't specify permissions needed, whether changes are reversible, rate limits, error handling, or what the output contains. For a mutation tool with zero annotation coverage, this is a significant gap in behavioral context.

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 function without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly. Every word earns its place in conveying the core 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 that there's an output schema (which handles return values), 100% schema coverage for inputs, and no annotations, the description's job is reduced. However, for a mutation tool ('batch updates'), the description should ideally mention prerequisites (like authentication via 'user_google_email') or behavioral traits. It's minimally adequate but lacks depth for safe and effective use.

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 100%, meaning all parameters are documented in the schema itself. The description doesn't add any meaningful semantic context beyond what's already in the schema (e.g., it doesn't explain the structure of 'requests' or provide examples). With high schema coverage, the baseline score of 3 is appropriate as the description neither compensates for gaps nor adds value beyond the structured data.

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 ('Apply batch updates') and target resource ('to a Google Slides presentation'), making the purpose immediately understandable. However, it doesn't distinguish this tool from similar batch update tools like 'batch_update_doc' or 'batch_update_form' in the sibling list, which would require explicit differentiation to earn a 5.

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. With sibling tools like 'update_slides_speaker_notes', 'format_all_slides_text', and 'replace_slides_text' available, there's no indication of when batch updates are preferable or what specific scenarios this tool addresses. This lack of comparative context leaves usage unclear.

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