create_gmail_label
Creates a new label in Gmail to categorize and organize your messages.
Instructions
Create a new label in Gmail.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes |
Creates a new label in Gmail to categorize and organize your messages.
Create a new label in Gmail.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits but only states the basic action. It does not mention what happens if the label already exists, required permissions, authentication needs, side effects, or the return value. This is insufficient for safe invocation.
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 a single sentence, highly concise and front-loaded. It wastes no words and states the core purpose. However, it could be slightly expanded with essential details without losing conciseness, preventing a perfect score.
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 tool with no output schema and no annotations, the description should provide context on success responses, error conditions, and lifecycle. It only states the action, leaving the agent uninformed about what the tool returns or how to handle failures.
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 coverage is 0% (no parameter descriptions), so the description must compensate. It implies that the 'name' parameter is the label's name, which provides minimal semantics. However, it does not specify format requirements, uniqueness, or character restrictions, so it only partially compensates.
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 specific action ('create') and resource ('label in Gmail'), distinctly separating it from sibling tools like 'list_gmail_labels' which reads labels rather than creating them.
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?
No guidance is provided on when to use this tool versus alternatives, nor any preconditions or exclusions. The description does not mention that 'list_gmail_labels' could be used to check for existing labels before creating, or that duplicate names might cause errors.
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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