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makeplane

Plane MCP Server

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by makeplane

create_label

Generate new labels within a Plane project to organize and categorize work items. Specify label details like name, color, and project ID for clear project management.

Instructions

Create a new label in a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
label_dataYes
project_idYesThe uuid identifier of the project to create the label in
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states 'Create' which implies a write/mutation operation, but doesn't disclose any behavioral traits: no information about permissions required, whether the operation is idempotent, what happens on duplicate names, rate limits, or what the response contains. For a creation tool with zero annotation coverage, this leaves critical gaps for the agent.

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 that states the core purpose without unnecessary words. It's appropriately sized for a basic creation tool and front-loads the essential information. Every word earns its place with no redundancy or fluff.

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 this is a mutation tool with no annotations, 2 parameters (one being a complex nested object with 15 properties), 50% schema description coverage, and no output schema, the description is inadequate. It doesn't explain what constitutes a valid label, what fields are mandatory beyond schema requirements, how the creation affects the system, or what to expect in return. The agent lacks sufficient context to use this tool effectively.

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 50% (only 'project_id' has a description), so the description must compensate but adds no parameter information. It mentions 'label' and 'project' which align with the two parameters ('project_id' and 'label_data'), but provides no details about what fields in 'label_data' are required or optional, what 'color' format to use, or how 'parent' relates to hierarchy. The description adds minimal value beyond what's inferable from parameter names.

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 ('Create') and resource ('new label in a project'), making the purpose immediately understandable. It distinguishes this tool from sibling tools like 'list_labels' or 'update_label' by specifying creation rather than retrieval or modification. However, it doesn't specify what a 'label' is in this context or differentiate from other creation tools like 'create_issue' or 'create_state'.

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., needing an existing project), when not to use it (e.g., for updating existing labels), or refer to sibling tools like 'list_labels' for checking existing labels or 'update_label' for modifications. The agent must infer usage 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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