Google Workspace MCP Server

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool retrieves metadata but doesn't describe what 'metadata' includes beyond 'configuration and available refinements.' It omits critical behavioral details: whether this requires specific permissions, rate limits, authentication scope, error conditions, or what format the returned information takes. The description provides minimal behavioral context beyond the basic operation.

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 with a clear purpose statement followed by separate Args and Returns sections. Every sentence adds value: the first states the operation, the second explains the parameter, and the third describes the return. There's no wasted text, and information is front-loaded appropriately.

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 moderate complexity (metadata retrieval with authentication), no annotations, and an output schema exists (though not shown), the description is minimally adequate. It covers the basic operation and parameter but lacks behavioral context about permissions, rate limits, or error handling. The existence of an output schema means the description doesn't need to detail return values, but it should provide more operational context for a tool requiring user authentication.

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 description adds meaningful context for the single parameter. The schema has 0% description coverage (just 'User Google Email'), while the description explains it's 'The user's Google email address' and 'Required.' This clarifies the parameter's purpose and requirement status beyond the bare schema. For a single parameter tool, this provides adequate semantic value.

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 a specific verb ('Retrieves') and resource ('metadata about a Programmable Search Engine'). It distinguishes itself from sibling tools by focusing on search engine metadata rather than document, email, or task operations. However, it doesn't explicitly differentiate from potential similar metadata retrieval tools (though none appear in the sibling list).

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 no guidance on when to use this tool versus alternatives. While the sibling list shows no direct alternatives for search engine metadata, there's no mention of prerequisites, context, or comparison with other information retrieval tools like get_spreadsheet_info or get_form. The agent receives no usage context beyond the basic purpose.

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