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create_label

Creates a label to classify items like leads, orders, or products. Specify a name and model type, with optional hex color.

Instructions

Create a label

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the label
colorNoHex code of the color of the label
model_typeYesThe model type for which this label is made available
Behavior2/5

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

The description does not disclose any behavioral traits such as idempotency, required permissions, or side effects beyond what annotations imply. Annotations indicate non-read-only and non-destructive, but no additional context is given.

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

Conciseness2/5

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

The description is extremely concise but under-specified. One sentence fails to provide enough information for effective tool selection and use. Conciseness without completeness is not beneficial.

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

Completeness2/5

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

Given the complexity (three parameters, no output schema, and many sibling tools), the description is incomplete. It does not explain what the tool returns, how model_type constrains usage, or how this tool relates to label-related siblings.

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 coverage is 100%, so descriptions exist for all three parameters. The tool description adds no extra meaning; it only restates the action. Baseline score of 3 is appropriate.

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

Purpose3/5

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

The description 'Create a label' is clear about the action and resource, but it lacks specificity about what kind of label (e.g., for which model types) and does not differentiate from other create tools like create_account. It relies on the tool name for context.

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 like add_label_to_order or update_label. There is no mention of prerequisites, or when creating a new label is appropriate.

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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