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. While 'Update' implies a mutation operation, the description doesn't specify required permissions, whether changes are reversible, what happens to existing tasks in the list, or any rate limits. The confirmation message mentioned in Returns is helpful but insufficient for a mutation tool with zero annotation coverage.

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 (description, Args, Returns) and uses minimal sentences. Each section earns its place by providing essential information. The front-loaded purpose statement is effective, though the Args section could be more integrated rather than separate.

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 mutation tool with 3 parameters, 0% schema coverage, and no annotations, the description provides basic but incomplete coverage. The Args section helps, and the Returns section mentions output format, but critical behavioral aspects (permissions, side effects, error conditions) are missing. The existence of an output schema reduces but doesn't eliminate the need for more operational context.

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 schema provides no parameter descriptions. The description's Args section adds meaningful context by explaining each parameter's purpose, which compensates somewhat for the schema gap. However, it doesn't provide format details (like email validation or ID format examples) or explain why user_google_email is required for an update operation.

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 ('Update') and resource ('an existing task list'), making the purpose immediately understandable. It distinguishes itself from sibling tools like 'create_task_list' by specifying it updates existing lists rather than creating new ones. However, it doesn't explicitly differentiate from 'update_task' which modifies individual tasks rather than task 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 prerequisites (like needing an existing task list ID), doesn't specify when to choose this over creating a new task list, and doesn't reference sibling tools like 'update_task' for modifying individual tasks. The agent must infer usage context from the tool name alone.

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