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list_gmail_labels

Retrieve all labels from a Gmail account to organize emails, manage folders, and automate email workflows using the VE Google Workspace MCP server.

Instructions

Lists all labels in the user's Gmail account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesThe user's Google email address. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool lists labels but does not disclose behavioral traits such as whether it requires specific permissions, how it handles large numbers of labels, or what the output format is. This leaves significant gaps in understanding the tool's operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It is front-loaded with the core action and resource, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that an output schema exists, the description does not need to explain return values. However, as a read operation with no annotations, it lacks details on permissions, error handling, or performance considerations, making it minimally adequate but incomplete for full agent understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, documenting the single required parameter clearly. The description does not add any additional meaning beyond the schema, such as explaining the email format or authentication context, so it meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Lists') and resource ('all labels in the user's Gmail account'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'list_gmail_filters' or 'search_gmail_messages', which prevents a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description lacks context about prerequisites (e.g., authentication) or comparisons to other listing tools in the sibling set, leaving the agent without usage direction.

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

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