A collection of Python scripts demonstrating LLM tool use, LangChain integration, and weather API interactions. Not an MCP server.
This is not an MCP server, it's a collection of LangChain/Anthropic SDK scripts. No MCP protocol implementation detected. Tools are defined in two incompatible ways (LangChain @tool decorators in tool_uses.py; raw Anthropic tool dicts in tools.py) with severe duplication: get_weather appears 4 times with different signatures, homelab_status appears 3 times. No tool registration, no unified schema, no error handling. Descriptions are minimal (10-50 chars). Parameters lack type constraints and validation. No output schemas documented. This cannot function as an MCP server.
Add two numbers together.
Get current weather for a city. Use for any weather question.
Get current temperature for provided coordinates in celsius.
Get current weather for a city.
Get current weather for a city.
Check if a homelab service is up. Valid services: nextcloud, jellyfin, n8n, ollama.
Check if a homelab service is up. Valid: nextcloud, jellyfin, n8n, ollama.
Check if a homelab service is up.
Not an MCP server. No MCP protocol implementation detected. Code uses LangChain and Anthropic SDK directly, not MCP transport layer.
Severe tool duplication: get_weather defined 4 times with conflicting signatures (city string vs lat/long numbers); homelab_status defined 3 times. LLM cannot disambiguate.
Descriptions too short (10-50 chars) and lack context. 'Get current weather for a city' does not explain when to use city variant vs coordinates variant, or what the return format is.
No output schemas documented. Tools return strings or floats with no structure. LLM cannot parse results reliably or chain to downstream tools.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 34 | 2026-07-28+ | v2 |
No error handling or recovery guidance. Tools return mock data (e.g. 'Weather in {city}: 18°C, partly cloudy') with no validation, timeout handling, or actionable error messages.