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 usefully describes key behavioral traits: auto-declining meeting invitations and setting chat status to Do Not Disturb by default. However, it doesn't mention important aspects like authentication requirements, rate limits, error conditions, or what happens when updating/deleting events. For a mutation tool with 16 parameters and no annotations, this leaves significant gaps in behavioral understanding.

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 perfectly concise and well-structured. It uses just two sentences: the first states the core purpose and resource, the second explains the key behavioral characteristics. Every word earns its place, and the most important information (what the tool does and its special features) is front-loaded.

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 (16 parameters, multiple actions including mutations), no annotations, but with both comprehensive input schema descriptions and an output schema, the description is minimally adequate. It explains the specialized nature of Focus Time events but doesn't address important contextual aspects like authentication scope, error handling, or action-specific considerations. The presence of an output schema means the description doesn't need to explain return values, but it should do more to guide usage of this complex multi-action tool.

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 has 100% description coverage, so the baseline is 3. The tool description doesn't add any parameter-specific information beyond what's already in the schema descriptions. It mentions the general concept of Focus Time events but doesn't explain parameter relationships, dependencies, or usage patterns that would help an agent understand how to combine parameters effectively for different actions.

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: 'Manages Focus Time events on Google Calendar' with specific functionality (auto-decline meetings, set chat status to Do Not Disturb). It distinguishes itself from generic calendar tools by focusing on the specialized 'Focus Time' feature. However, it doesn't explicitly differentiate from sibling tools like 'manage_event' or 'get_events' beyond the Focus Time specialization.

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 implies usage context (protecting uninterrupted work time) but doesn't provide explicit guidance on when to use this tool versus alternatives. It mentions the tool's specialized behavior (auto-declining meetings, chat status) which suggests it's for Focus Time events specifically, but doesn't state when to choose this over the more general 'manage_event' tool or when not to use it.

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