This is a demo application, not an MCP server. The code shows a .NET client consuming external MCP tools (web_search, alpha_finance) via Azure AI Projects, not implementing or exposing MCP tools itself. Tool definitions are inferred from ResponseTool.CreateWebSearchTool() and ResponseTool.CreateMcpTool() calls, the actual schemas, parameter descriptions, and output structures are not visible in the source. No input validation, error handling guidance, or structured output documentation present. The two tools lack explicit schema definitions, parameter type information, and comprehensive descriptions in the code.

• If this is intended to be an MCP server, rewrite it as a proper MCP implementation (e.g., using mcp-dotnet SDK) that registers tools with explicit JSON Schema input/output definitions, not as an Azure AI Projects client.
• Add comprehensive parameter descriptions to both tools. For web_search: document accepted location formats, query length limits, result count, and output fields. For alpha_finance: document ticker symbol format, data freshness, and available metrics.
• Define explicit input schemas with type information. Specify enums for location codes (GB, US, etc.), numeric bounds for result limits, and string patterns for ticker symbols.
• Document output schemas. Describe what fields web_search returns (title, url, snippet, source) and what alpha_finance returns (fundamentals structure, news items, timestamps).
• Add error handling guidance. E.g., 'If no results found, try a broader query or different location. If API rate limit hit, retry after 60 seconds.'