MCP server integrating LangChain with multiple MCP servers (Math and Weather) using FastMCP
Three tools with minimal definitions. All have basic verb-noun naming (add, multiply, get_weather) and short descriptions (10-34 chars), but descriptions lack context on WHEN to use tools or WHAT they return. No parameter descriptions beyond type hints. No output schemas documented. No error handling guidance. Schemas are present but minimal, only type and description at parameter level, no constraints, ranges, or validation rules. This is below the baseline for production tools (avg description 194 chars, avg param annotation 72 chars).
Add two numbers
Retrieve the weather location.
Multiply two numbers
Descriptions are too short (10-34 chars) and lack context. 'Add two numbers' does not explain WHEN to use this tool vs alternatives, what it returns, or any prerequisites. Baseline is 194 chars avg.
No output schemas documented. LLMs cannot plan downstream calls or extract return values. Tools return int or str but no structured response format is specified.
No error handling or recovery guidance. If get_weather fails (invalid location, API timeout), the LLM has no actionable next step.
Parameter descriptions are missing. 'a' and 'b' in add/multiply are ambiguous, the description 'First number' and 'Second number' are minimal. No range constraints (e.g., min/max), no format hints.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 43 | 2026-07-28+ | v2 |
get_weather description is misleading: 'Retrieve the weather location' suggests it returns a location, not weather. Should be 'Get current weather for a location'.