Loading ToolBench
Frontend application for DARE (Data Analytics and Reporting Engine) with MCP server integration for tool management and execution
This is a React/Vite frontend application, not an MCP server. The codebase contains two API wrapper functions (getDareToolsAPI, getDareToolExecutionsAPI) in src/api/dareTools.ts, but these are NOT MCP tool definitions. They are HTTP client functions for a web application. There is no MCP server implementation visible: no MCP protocol handlers, no tool registration mechanism, no response formatting for MCP clients, no transport implementation. The package.json lists Vite, React, and frontend dependencies, no @modelcontextprotocol packages. The two functions are internal API wrappers for the DARE frontend UI, not MCP tools exposed to agents. Treating them as if they were MCP tools would be misleading. As presented, this is a frontend artifact mistakenly evaluated as an MCP server.
Get DARE tool execution history
Get all available DARE tools
NOT AN MCP SERVER, This is a React/Vite frontend codebase with HTTP API wrapper functions, not an MCP server implementation.
No MCP tool registration, Functions are plain JavaScript/TypeScript, not registered as MCP tools with schemas, descriptions, or input definitions visible to an MCP client.
Input parameters have no descriptions, getDareToolExecutionsAPI accepts 'tool' and 'status' but does not document what values are valid, whether they are required, or constraints (e.g., enums, patterns).
Tool descriptions are far too short, Both descriptions are 34 - 42 characters, well below the baseline median of 194 chars and production guidance of 50 - 200 chars. LLMs need WHEN and WHY context.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 24 | 2026-07-28+ | v2 |
No output schema documented, Return types are TypeScript types (DareTool[], PaginatedResponse<DareToolExecution>) but no JSON Schema documentation for MCP clients on what fields to expect.
No error handling guidance, Functions do not document what errors can occur, whether they are retryable, or how to recover. A failed API call returns nothing actionable to an agent.
Parameters lack type constraints, 'tool' and 'status' are accepted as free-form strings with no enum, pattern, or example values documented. Agents will guess at valid values.