An AI assistant system that integrates Microsoft SemanticKernel with Model Context Protocol (MCP) to provide voice-activated command processing with Azure Speech services and text-to-speech capabilities
The server exposes a single tool 'mcp-obsidian' that is dynamically loaded from an external MCP server. The tool definition is inferred rather than explicitly registered in the source code, only a string name and generic description are visible in Jarvis/MCP.cs. No input schema, parameter descriptions, or output schema are defined or visible. The description 'MCP tools dynamically loaded from the mcp-obsidian server for Obsidian vault operations' is generic and does not explain what the tool does, when to use it, or what it returns.
MCP tools dynamically loaded from the mcp-obsidian server for Obsidian vault operations
Tool definition is inferred, not explicitly registered. Only a string name and generic description are visible; no input schema, parameter types, or output schema are defined in the source code.
No input schema visible. The tool accepts parameters from the external mcp-obsidian server, but the Jarvis wrapper does not document or validate them. LLMs cannot infer parameter names, types, or constraints.
Description is generic and uninformative. 'MCP tools dynamically loaded from the mcp-obsidian server for Obsidian vault operations' does not explain what the tool does, when to call it, or what it returns. LLMs cannot determine tool selection.
No output schema documented. The tool returns results from the external mcp-obsidian server, but the Jarvis wrapper does not document the response structure, field names, or types.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 24 | 2026-07-28+ | v2 |
No error handling or recovery guidance. If the tool fails, the LLM receives no actionable error message or suggestion for next steps.