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manage_gmail_label

Create, update, or delete Gmail labels to organize email messages and customize inbox visibility settings.

Instructions

Manages Gmail labels: create, update, or delete labels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesThe user's Google email address. Required.
actionYesAction to perform on the label.
nameNoLabel name. Required for create, optional for update.
label_idNoLabel ID. Required for update and delete operations.
label_list_visibilityNoWhether the label is shown in the label list.labelShow
message_list_visibilityNoWhether the label is shown in the message list.show

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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 states the actions but doesn't describe critical behaviors: whether operations are destructive (e.g., deletion is irreversible), authentication requirements, rate limits, error handling, or what the output contains. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 extremely concise and front-loaded with a single, clear sentence: 'Manages Gmail labels: create, update, or delete labels.' Every word earns its place, with no redundant or verbose phrasing, making it efficient for quick comprehension.

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 the tool's complexity (6 parameters, mutation actions) and the presence of an output schema (which handles return values), the description is minimally adequate. However, with no annotations and incomplete behavioral context, it lacks guidance on usage, prerequisites, and operational risks. It covers the basic purpose but falls short of being fully informative for safe and effective use.

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?

Schema description coverage is 100%, so the schema fully documents all 6 parameters with descriptions, enums, and requirements. The description adds no additional parameter semantics beyond implying the three actions (create/update/delete), which are already covered in the schema's 'action' enum. This 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 tool's purpose: 'Manages Gmail labels: create, update, or delete labels.' It specifies the verb ('manages') and resource ('Gmail labels') with the three specific actions. However, it doesn't differentiate from sibling tools like 'list_gmail_labels' or 'modify_gmail_message_labels', which handle related but distinct operations.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., authentication needs), compare it to sibling tools like 'list_gmail_labels' for viewing labels, or specify scenarios where one action (create/update/delete) is appropriate over others. This leaves the agent without contextual usage cues.

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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