CLI and API for 10xscale AgentFlow - Build, run, test, and evaluate production-ready Agentflow agents
Single tool 'get_weather' has critical definition gaps. Description is present (47 chars, within range) but input schema is severely malformed. Parameters include non-standard fields ('tool_call_id', 'state', 'emit') that appear to be internal implementation details leaking into the tool interface. The 'location' parameter lacks explicit type declaration in the visible schema. No output schema is documented. The tool definition appears inferred from template code rather than explicitly registered via MCP protocol. No error handling guidance, no pagination, no structured output specification.
Get the current weather for a specific location.
Input schema contains internal implementation parameters ('tool_call_id', 'state', 'emit') that should not be exposed to LLM. These are framework concerns, not user-facing inputs.
No output schema documented. LLM cannot infer what fields to expect (temperature, humidity, forecast, etc.) or plan downstream operations.
Tool definition appears inferred from template code rather than explicitly registered via MCP protocol. Cannot verify actual tool registration, schema validation, or capability negotiation.
Description 'Get the current weather for a specific location.' lacks context on when to use this vs alternatives, what format location should be (city name, coordinates, zip code), and what data is returned.
Inferred effective spec: 2025-06-18+.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 50 | 2025-06-18+ | v2 |
No error handling guidance. What happens if location is invalid, API is down, or location is ambiguous (e.g., 'Springfield')? LLM has no recovery path.