Google Workspace MCP VE

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 effectively describes the tool's behavior: walking the presentation, collecting text elements, and issuing batch updates. It clarifies this is a mutation operation (implied by 'Apply text formatting' and 'updateTextStyle'), though it doesn't explicitly mention permissions, rate limits, or error handling. The batch operation aspect is well-explained, adding valuable context beyond basic functionality.

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 perfectly structured and concise. The first sentence states the core purpose, followed by explanatory details about the walking mechanism and batch operation. Every sentence adds value without redundancy. The two-sentence format is front-loaded with essential information and efficiently communicates the tool's scope and method.

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 (10 parameters, mutation operation) and the presence of an output schema (which handles return values), the description is largely complete. It covers the tool's purpose, behavior, and key parameters well. The main gap is the lack of explicit warnings about permissions or side effects, which would be helpful for a mutation tool with no annotations, but the output schema reduces the need to explain returns.

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 50%, and the description adds meaningful context beyond the schema. It explains the purpose of page_object_id (single slide vs. whole presentation) and lists the types of formatting available (fonts, colors, emphasis). While it doesn't detail every parameter, it provides enough semantic understanding to complement the schema's technical definitions, especially for the optional formatting parameters.

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 tool's purpose with specific verbs ('Apply text formatting', 'Walks the presentation', 'issues one updateTextStyle request per element') and resources ('EVERY text element on a slide or across the whole presentation'). It distinguishes itself from potential siblings by emphasizing bulk operations without specifying individual element IDs, which is unique among formatting tools.

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 clear context for when to use this tool: for bulk-restyling fonts, colors, or emphasis across slides without specifying element IDs individually. It mentions the optional page_object_id parameter for single-slide vs. whole-presentation formatting. However, it doesn't explicitly state when NOT to use it or name alternative tools (like format_slides_text or format_slides_paragraph from the sibling list) for more targeted formatting.

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