Skip to main content
Glama
Garoth
by Garoth

validate_key

Check if your OpenAI API key is valid and properly configured for use with DALL-E image generation tools.

Instructions

Validate the OpenAI API key

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The main handler function implementing the validate_key tool. It calls dalleService.validateApiKey() to check the OpenAI API key and returns a text response indicating validity.
    handler: async (_args: ValidateKeyArgs): Promise<ToolResponse> => {
      const isValid = await dalleService.validateApiKey();
      return {
        content: [{
          type: "text",
          text: isValid ? "API key is valid" : "API key is invalid"
        }]
      };
    }
  • JSON input schema for the validate_key tool, defining an empty object with no required properties.
    inputSchema: {
      type: "object",
      properties: {},
      required: []
    },
  • TypeScript interface defining the arguments for validate_key tool, which requires no arguments.
    export interface ValidateKeyArgs {}
  • The full tool registration object for 'validate_key' exported in the tools array.
    {
      name: "validate_key",
      description: "Validate the OpenAI API key",
      inputSchema: {
        type: "object",
        properties: {},
        required: []
      },
      handler: async (_args: ValidateKeyArgs): Promise<ToolResponse> => {
        const isValid = await dalleService.validateApiKey();
        return {
          content: [{
            type: "text",
            text: isValid ? "API key is valid" : "API key is invalid"
          }]
        };
      }
    }
  • src/index.ts:29-29 (registration)
    MCP server capabilities registration declaring support for the validate_key tool.
    validate_key: true
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 what the tool does but provides no information about what validation entails, what happens during validation, whether it makes external API calls, what the response format might be, or any error conditions. This leaves significant behavioral gaps.

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 exactly what the tool does with zero wasted words. It's appropriately sized for a simple validation tool and front-loads the core functionality immediately.

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?

For a validation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what validation means in this context, what constitutes success/failure, what information is returned, or how the validation is performed. The agent lacks crucial context to understand the tool's behavior and output.

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 tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the parameter situation. The description doesn't need to compensate for any parameter gaps, and it correctly doesn't mention any parameters. Baseline for 0 parameters with full coverage is 4.

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 ('validate') and the resource ('OpenAI API key'), providing specific verb+resource pairing. However, it doesn't differentiate from sibling tools (which are image-related operations), though this isn't necessary since they serve completely different domains.

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. There's no mention of prerequisites, context for validation, or what constitutes appropriate usage scenarios. 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.

Install Server

Other 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/Garoth/dalle-mcp'

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