Multi-agent financial analysis workflow built on the Microsoft Agent Framework. Analyzes financial reports by extracting target file names from user queries, spawning concurrent analysis agents per file, and synthesizing results into a comprehensive summary.
This server exposes only ONE tool (answer_synthesis_mcp) with a generic, uninformative description. The tool name lacks a clear action verb and does not follow verb_noun conventions. No input schema is visible in the provided source code, only a tool name and a vague description are present. The description ('MCP tool exposed by the Financial_File_Server for synthesizing financial analysis answers from file data') is 108 characters but provides no actionable guidance on WHAT parameters it accepts, WHEN to call it, or WHAT it returns. No parameter documentation, no output schema, no error handling guidance. The tool appears to be a pass-through wrapper around a remote MCP server, but its interface is completely opaque to the agent. This violates nearly every definition quality pattern.
MCP tool exposed by the Financial_File_Server for synthesizing financial analysis answers from file data
Tool has NO visible input schema. Cannot determine what parameters the LLM should pass.
Tool name 'answer_synthesis_mcp' does not start with an action verb (get_, create_, search_, etc.). LLMs cannot infer intent from the name alone. Should be 'synthesize_financial_answer' or 'generate_financial_analysis'.
Description is generic and lacks specificity. Does not explain WHEN to use this tool, WHAT parameters it accepts, or WHAT it returns. No guidance on dependencies or prerequisites.
No parameter documentation visible. LLMs cannot determine what inputs are required or optional, their types, formats, or constraints.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 28 | <=2025-11-25 | v2 |
No output schema documented. LLMs cannot plan downstream tool calls or extract relevant data from the response.