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 successfully communicates key behavioral traits: the tool modifies document content (implied by 'convert'), is idempotent ('safe to re-run'), and has specific scope ('Google Doc or specific tab'). It doesn't mention authentication requirements, rate limits, or error conditions, but provides useful operational context about the transformation behavior and safety.

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 sized and front-loaded with the core functionality in the first sentence. The second sentence adds important behavioral context (idempotency) without redundancy. Every word earns its place, and there's no wasted text or unnecessary elaboration.

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?

For a document transformation tool with no annotations but an output schema, the description provides good contextual completeness. It clearly explains what the tool does, its scope, and key behavioral characteristics. The presence of an output schema means the description doesn't need to explain return values. The main gap is lack of information about authentication requirements or error handling, but overall it's quite complete for its complexity level.

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 schema description coverage is 75%, providing good documentation for most parameters. The description adds minimal parameter semantics beyond the schema - it mentions 'Google Doc (or specific tab)' which relates to document_id and tab_id parameters, but doesn't provide additional context about user_google_email or strip_plain_text. Given the high schema coverage, the baseline of 3 is appropriate as the schema does most of the parameter documentation work.

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 ('Convert plain-text "N. " step prefixes'), target resource ('Google Doc or specific tab'), and transformation outcome ('into a real numbered list whose numbering continues across intervening prompt paragraphs and sub-bullet lists'). It distinguishes itself from sibling tools by focusing on a specialized text formatting operation not covered by other document manipulation tools like 'modify_doc_text' or 'format_slides_text'.

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: when plain-text numbering prefixes need to be converted to proper continuous numbering across complex document structures. It mentions idempotency ('safe to re-run'), which implies it can be used repeatedly without negative effects. However, it doesn't explicitly state when NOT to use it or name specific alternatives among the sibling tools.

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