A case file for every freight email: inbox-to-TMS agent with human-confirmed actions
Single tool 'quote_request' has critical definition gaps. Input schema visible but severely underdeveloped: nested 'quote' object with no property definitions, no type constraints, no field descriptions. Description is 79 chars, acceptable length but lacks WHEN/WHY context and does not explain the WRITE risk or confirmation workflow. No output schema documented. Tool definition inferred from langsmith_evals.py (not primary server code), capping per-tool score at 50 max. STDIO transport further limits practical utility.
Extract and confirm freight quote request details from email
Input schema 'quote' object has no property definitions or type constraints. LLM cannot infer valid structure.
No output schema documented. LLM cannot plan downstream actions or extract confirmation results.
Description lacks WHEN/WHY context and does not explain WRITE risk, confirmation workflow, or expected payload structure.
Tool definition inferred from langsmith_evals.py (evaluation script), not primary server implementation. Actual tool registration in server.py not visible.
No error handling guidance. Tool modifies state (WRITE risk) but does not document failure modes, recovery steps, or validation errors.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 37 | 2025-06-18+ | v2 |