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 mentions 'Send As' and attachments but fails to disclose critical behavioral traits such as authentication requirements (implied by the user_google_email parameter), rate limits, error handling, or whether the operation is idempotent. For a mutation tool with zero annotation coverage, this is a significant gap.

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 efficiently structured in two sentences with zero waste, front-loading the core functionality and then adding feature details. Every sentence earns its place by conveying essential information without redundancy or fluff.

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 (13 parameters, mutation operation) and the presence of an output schema (which means return values are documented elsewhere), the description is minimally adequate. However, with no annotations and incomplete behavioral transparency, it lacks sufficient context for safe and effective use, especially for a critical operation like sending emails.

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 100%, so the schema already documents all 13 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema, such as explaining interactions between parameters or providing examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Sends an email') and resource ('using the user's Gmail account'), distinguishing it from sibling tools like 'draft_gmail_message' by emphasizing the actual sending function. It also specifies support for both new emails and replies with attachments, providing comprehensive purpose clarity.

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 mentions support for 'Send As' feature and attachments but provides no explicit guidance on when to use this tool versus alternatives like 'draft_gmail_message' or 'send_message'. There is no mention of prerequisites, limitations, or typical use cases, leaving the agent without clear usage context.

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