Google Workspace MCP Server

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

No annotations are provided, so the description carries full burden. While 'Get details' implies a read-only operation, it doesn't disclose behavioral traits like authentication requirements, rate limits, error conditions, or whether the operation is idempotent. The description adds minimal 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 well-structured with clear sections (Args, Returns) and front-loaded with the core purpose. Every sentence adds value: the first states the purpose, Args explains parameters, Returns describes output. It's appropriately sized without 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?

Given the tool's moderate complexity (2 required parameters, no annotations, but has output schema), the description is partially complete. It covers purpose and parameters adequately, and the output schema exists (so return values needn't be detailed). However, for a tool with zero annotation coverage, it lacks behavioral context like permissions or error handling, leaving gaps for an AI agent.

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%, but the description compensates by explaining both parameters in the Args section: 'user_google_email' is described as 'The user's Google email address' and 'task_list_id' as 'The ID of the task list to retrieve'. This adds meaningful semantics beyond the schema's bare titles. However, it doesn't specify format constraints (e.g., email validation, ID format).

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 verb ('Get details') and resource ('a specific task list'), making the purpose unambiguous. It distinguishes from sibling tools like 'list_task_lists' (which lists multiple) by specifying retrieval of a single task list. However, it doesn't explicitly differentiate from 'get_task' (which retrieves individual tasks rather than lists).

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. It doesn't mention sibling tools like 'list_task_lists' (for listing all task lists) or 'get_task' (for retrieving individual tasks), nor does it specify prerequisites or contextual constraints for usage.

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