Skip to main content
Glama
bbernstein

LacyLights MCP Server

by bbernstein

delete_project

Permanently remove a project and its associated data using a project ID and deletion confirmation, ensuring precise management of AI-powered theatrical lighting design projects.

Instructions

Delete a project and all its data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmDeleteYesConfirm deletion of project and all its data
projectIdYesProject ID to delete

Implementation Reference

  • The core handler function for the 'delete_project' MCP tool. Validates input arguments using Zod schema, enforces confirmation flag, delegates to GraphQL client for deletion, and returns structured success/failure response.
    async deleteProject(args: z.infer<typeof DeleteProjectSchema>) {
      const { projectId, confirmDelete } = DeleteProjectSchema.parse(args);
    
      if (!confirmDelete) {
        throw new Error('Deletion not confirmed. Set confirmDelete to true to proceed.');
      }
    
      try {
        const success = await this.graphqlClient.deleteProject(projectId);
    
        return {
          success,
          message: success ? `Project ${projectId} deleted successfully` : 'Failed to delete project'
        };
      } catch (error) {
        throw new Error(`Failed to delete project: ${error}`);
      }
    }
  • Zod validation schema used by the delete_project handler to parse and validate tool inputs.
    const DeleteProjectSchema = z.object({
      projectId: z.string().describe('Project ID to delete'),
      confirmDelete: z.boolean().default(false).describe('Confirm deletion of project and all its data')
    });
  • src/index.ts:154-171 (registration)
    MCP tool metadata registration in ListToolsRequestHandler. Defines the 'delete_project' tool name, description, and JSON input schema for discovery by MCP clients.
      name: "delete_project",
      description: "Delete a project and all its data",
      inputSchema: {
        type: "object",
        properties: {
          projectId: {
            type: "string",
            description: "Project ID to delete",
          },
          confirmDelete: {
            type: "boolean",
            default: false,
            description: "Confirm deletion of project and all its data",
          },
        },
        required: ["projectId", "confirmDelete"],
      },
    },
  • src/index.ts:1846-1858 (registration)
    Handler dispatch registration in CallToolRequestHandler switch statement. Routes 'delete_project' calls to the ProjectTools instance method.
    case "delete_project":
      return {
        content: [
          {
            type: "text",
            text: JSON.stringify(
              await this.projectTools.deleteProject(args as any),
              null,
              2,
            ),
          },
        ],
      };
  • GraphQL client helper method that executes the backend deleteProject mutation and returns boolean success indicator. Called by the main tool handler.
    async deleteProject(id: string): Promise<boolean> {
      const mutation = `
        mutation DeleteProject($id: ID!) {
          deleteProject(id: $id)
        }
      `;
    
      const data = await this.query(mutation, { id });
      return data.deleteProject;
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 the tool deletes a project and all its data, implying a destructive, irreversible action, but lacks details on permissions, side effects, or error handling. For a high-stakes deletion tool, this is insufficient.

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, direct sentence that efficiently conveys the core action without unnecessary words. It is front-loaded and wastes no space, making it highly concise and well-structured.

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 tool's destructive nature, lack of annotations, and no output schema, the description is incomplete. It doesn't cover critical aspects like what 'all its data' entails, potential dependencies, or response format. For a deletion operation, more context is needed to ensure safe usage.

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 input schema has 100% description coverage, clearly documenting both parameters (projectId and confirmDelete). The description adds no additional meaning beyond what's in the schema, such as explaining why confirmation is required. With high schema coverage, the baseline score of 3 is appropriate.

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 ('Delete') and resource ('a project and all its data'), making the purpose immediately understandable. However, it doesn't differentiate from potential alternatives like 'remove_cue_from_list' or other deletion-like operations among siblings, which would require a 5.

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, such as needing to confirm deletion, or compare it to other tools like 'remove_cue_from_list' for partial deletions. This lack of context leaves usage unclear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Related Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/bbernstein/lacylights-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server