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Plane MCP Server

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list_labels

Retrieve all labels associated with a specific project in Plane's project management system using the integrated MCP server for streamlined organization and categorization.

Instructions

Get all labels for a specific project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesThe uuid identifier of the project to get labels for

Implementation Reference

  • The async handler function for the list_labels tool, which makes a GET request to the Plane API to fetch all labels for the specified project and returns the JSON response formatted as text content.
      async ({ project_id }) => {
        const response = await makePlaneRequest(
          "GET",
          `workspaces/${process.env.PLANE_WORKSPACE_SLUG}/projects/${project_id}/labels/`
        );
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify(response, null, 2),
            },
          ],
        };
      }
    );
  • Input schema definition for the list_labels tool using Zod, specifying the required project_id parameter.
    {
      project_id: z.string().describe("The uuid identifier of the project to get labels for"),
    },
  • Registration of the list_labels MCP tool within the registerMetadataTools function using server.tool(), including name, description, input schema, and inline handler implementation.
    server.tool(
      "list_labels",
      "Get all labels for a specific project",
      {
        project_id: z.string().describe("The uuid identifier of the project to get labels for"),
      },
      async ({ project_id }) => {
        const response = await makePlaneRequest(
          "GET",
          `workspaces/${process.env.PLANE_WORKSPACE_SLUG}/projects/${project_id}/labels/`
        );
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify(response, null, 2),
            },
          ],
        };
      }
    );
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Get all labels' but doesn't clarify if this is a read-only operation, what permissions are required, whether it returns paginated results, or what the output format looks like. For a list operation 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 a single, efficient sentence that front-loads the core action ('Get all labels') and context ('for a specific project'). There is zero waste or redundancy, making it appropriately concise for a simple list operation.

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 lack of annotations and output schema, the description is incomplete. It doesn't explain behavioral aspects like read-only nature, permissions, or output format, which are crucial for an agent to use the tool correctly. For a tool with no structured safety or output information, the description should provide more context.

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?

The schema description coverage is 100%, with the single parameter 'project_id' well-documented in the schema as 'The uuid identifier of the project to get labels for'. The description adds no additional semantic context beyond implying the parameter's purpose, so it meets the baseline for high schema coverage without compensating value.

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 verb ('Get') and resource ('labels') with scope ('for a specific project'), making the purpose evident. However, it doesn't explicitly differentiate from sibling tools like 'get_label' (singular) or 'create_label', leaving some ambiguity about when to use this versus alternatives.

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 like 'get_label' (singular) or 'create_label'. It mentions the context ('for a specific project') but lacks explicit when-to-use or when-not-to-use instructions, leaving the agent to infer usage from the 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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