TypeScript implementation of the Microsoft Agent Framework programming model with support for multiple LLM providers (OpenAI, Anthropic, Foundry), MCP integration, A2A protocol, and hosted agent capabilities.
This is an agent framework library, not an MCP server. The single tool 'get_weather' is defined in an example file (examples/01-get-started/02-tools.ts) but the actual tool registration code is not visible in the provided source. The tool has a minimal description ('Get the current weather for a location') and a basic schema with one string parameter. No error handling, output schema documentation, or parameter validation is evident. The framework itself supports multiple LLM providers and transport mechanisms, but the example tool lacks production-grade definition quality.
Get the current weather for a location
Tool definition not directly visible in source code, only inferred from example file reference. Cannot verify actual schema registration, error handling, or output structure.
Description is 41 characters, below the 50-character minimum for LLM clarity. Does not explain when to use this tool vs alternatives, what it returns, or error cases.
No output schema documented. LLMs cannot plan downstream operations or extract fields without knowing the response structure (e.g., temperature, humidity, forecast).
Parameter 'location' lacks format constraints, examples, or validation rules. No guidance on whether to accept city names, coordinates, or postal codes.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 42 | 2026-07-28+ | v2 |
No error handling guidance. What happens if location is invalid, API is down, or coordinates are out of range? LLM has no recovery path.