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create_label

Create a new label in a Plane project by specifying project ID, name, description, and color. Use labels to categorize and filter issues effectively.

Instructions

Create a new label.

Args: project_id: The UUID identifier of the project name: Name of the label description: Description of the label color: Color hex code for the label

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
colorNo#000000
project_idYes
descriptionNo

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 disclosing behavioral traits. It states 'Create a new label' but does not mention that this is a write operation requiring appropriate permissions, whether duplicate labels are allowed, what happens on failure, or any side effects. The parameter list adds no behavioral context beyond their definitions.

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, consisting of a one-line purpose followed by a structured Args block. Every line adds value — the purpose sentence is front-loaded, and the parameter explanations are brief yet informative. No filler or redundancy.

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?

For a simple CRUD create operation with an output schema, the description covers the basics: what it does and what each parameter means. However, given the lack of annotations, it does not address permissions, error conditions, or relationship to other label operations (like update_label). It is minimally viable but lacks the richer context that would make it fully complete.

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

Parameters4/5

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

The input schema has 0% description coverage, so the description's Args list is the sole source of parameter meaning. It provides clear, human-readable definitions for all four parameters: project_id as a UUID, name as the label's name, description as the description, and color as a hex code. This goes beyond the schema's types/defaults and effectively compensates for the missing schema descriptions.

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

Purpose5/5

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

The description begins with 'Create a new label', which is a specific verb+resource statement that clearly distinguishes this tool from siblings like list_labels, get_label, update_label, and delete_label. The purpose is unambiguous.

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 does not mention that update_label should be used for modifying existing labels, nor any prerequisites or conditions for creating a label. The absence of usage context leaves the agent to infer from the tool name alone.

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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