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debug_test

Verify the MCP server connection and functionality to ensure proper integration with FluentBoards project management system.

Instructions

Test if MCP server is working

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The inline async handler function that implements the core logic of the "debug_test" tool. It attempts an API call to verify connectivity, constructs a status result, and returns a formatted response.
    server.tool("debug_test", "Test if MCP server is working", {}, async () => {
      try {
        // Try to make a simple API call to test connectivity
        const response = await api.get("/projects/list-of-boards");
        const result = {
          status: "success",
          message: "MCP server is working correctly",
          api_status: "connected",
          timestamp: new Date().toISOString(),
          boards_count: response.data.boards ? response.data.boards.length : 0,
        };
        return formatResponse(result);
      } catch (error: any) {
        const result = {
          status: "error",
          message: "MCP server test failed",
          error: error.message,
          timestamp: new Date().toISOString(),
        };
        return formatResponse(result);
      }
    });
  • The registerDebugTools function that registers the "debug_test" tool on the provided MCP server instance, including its schema (empty) and handler.
    export function registerDebugTools(server: McpServer) {
      // Test if MCP server is working
      server.tool("debug_test", "Test if MCP server is working", {}, async () => {
        try {
          // Try to make a simple API call to test connectivity
          const response = await api.get("/projects/list-of-boards");
          const result = {
            status: "success",
            message: "MCP server is working correctly",
            api_status: "connected",
            timestamp: new Date().toISOString(),
            boards_count: response.data.boards ? response.data.boards.length : 0,
          };
          return formatResponse(result);
        } catch (error: any) {
          const result = {
            status: "error",
            message: "MCP server test failed",
            error: error.message,
            timestamp: new Date().toISOString(),
          };
          return formatResponse(result);
        }
      });
    }
  • src/index.ts:21-21 (registration)
    The call to registerDebugTools on the main MCP server instance, which triggers the registration of the "debug_test" tool.
    registerDebugTools(server);
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. 'Test if MCP server is working' implies a read-only diagnostic operation, but doesn't specify what constitutes 'working' (connectivity, authentication, functionality), what the response format might be, or whether this has any side effects. For a diagnostic tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

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 maximally concise at 5 words: 'Test if MCP server is working.' Every word earns its place - it specifies the action (test), target (MCP server), and purpose (working). There's zero waste or redundancy in this single-sentence description.

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?

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is adequate but minimal. It states what the tool does but doesn't provide context about what 'working' means diagnostically, what the expected response might contain, or when this tool should be used relative to the sibling task management tools. For a diagnostic tool, more context about the nature of the test would be helpful.

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. The baseline for 0 parameters with high schema coverage is 4, as there's no parameter information needed beyond what's already structured.

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 tool's purpose: 'Test if MCP server is working' which is a specific action (test) on a specific resource (MCP server). However, it doesn't differentiate from sibling tools (all of which are task/board management tools), so this is a standalone diagnostic tool with no direct alternatives to distinguish from.

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 when this diagnostic check should be performed, what conditions might trigger its use, or how it relates to the sibling task management tools. The agent receives only the basic function without contextual usage instructions.

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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