Google Workspace MCP Server

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 explains that this tool triggers a manual authentication flow, contrasting it with the automatic authentication handled by other tools. It mentions failure scenarios and retry logic, though it doesn't detail what happens during the flow (e.g., user prompts, token storage) or error handling specifics.

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 well-structured and front-loaded with the core purpose, followed by important usage notes. Every sentence adds value: the first states the purpose, the second warns against typical use, the third lists specific use cases, and the fourth reinforces the alternative. There is no wasted text, and the information is efficiently organized.

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 (authentication flow with 2 parameters) and the presence of an output schema (which handles return values), the description is complete. It covers purpose, usage guidelines, and behavioral context adequately, and the output schema likely details authentication results, so no additional return value explanation is needed in the description.

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 0%, so the description must compensate for the lack of parameter documentation. While it doesn't explicitly mention the two parameters (service_name, user_google_email), it implies their purpose by discussing authentication for Google services and user credentials. The context about 'different credentials' and 'Google Workspace tools' helps infer parameter roles, though direct parameter explanation would improve this.

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 explicitly states the tool's purpose: 'Manually initiate Google OAuth authentication flow.' This is a specific verb ('initiate') with a clear resource ('Google OAuth authentication flow'), and it distinguishes itself from all sibling tools, which are Google Workspace operations rather than authentication utilities.

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 explicit guidance on when NOT to use this tool ('typically NOT be called directly') and lists three specific scenarios for its use (re-authenticate with different credentials, proactive authentication, retry after failure). It also mentions the alternative approach of letting other tools handle authentication automatically, making the usage context very clear.

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