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 describes the tool's capabilities (e.g., applying styles, creating lists, customizing properties) and mentions it can handle multiple operations in one call, which adds useful context. However, it does not disclose critical behavioral traits such as required permissions (e.g., edit access to the document), whether changes are reversible, rate limits, or error handling, leaving significant gaps for a mutation tool.

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 first sentence clearly stating the tool's purpose. Each subsequent sentence adds specific value by detailing formatting options (e.g., heading styles, lists, paragraph properties) and operational efficiency ('All operations can be applied in a single call'), with zero wasted words.

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 (25 parameters, mutation operation) and the presence of an output schema (which handles return values), the description is reasonably complete. It covers the tool's purpose and key capabilities. However, with no annotations and a mutation tool, it should ideally include more behavioral context (e.g., permissions, reversibility) to fully compensate for the lack of structured safety hints.

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, so the baseline is 3. The description adds minimal value beyond the schema by mentioning 'paragraph-level formatting' and 'heading styles,' which loosely maps to parameters like 'heading_level' and 'named_style_type,' but does not provide additional syntax, format details, or usage examples that aren't already in the schema 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 tool's purpose with specific verbs ('apply paragraph-level formatting, heading styles, and/or list formatting') and resources ('to a range in a Google Doc'). It distinguishes itself from siblings by focusing on paragraph-level styling in Google Docs, unlike tools like 'format_slides_paragraph' for slides or 'modify_doc_text' for text content.

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 implies usage for formatting paragraphs in Google Docs, but does not explicitly state when to use this tool versus alternatives like 'format_slides_paragraph' for slides or 'batch_update_doc' for batch operations. It mentions 'All operations can be applied in a single call,' which suggests efficiency for multiple formatting tasks, but lacks explicit when-not-to-use guidance or named alternatives.

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