Explicit conversational state outside the chat transcript
LangQuant defines 2 tools with minimal documentation. Both tools have descriptions (10-50 chars), but lack parameter-level descriptions entirely. Input schemas are present but incomplete: parameters lack type information beyond top-level object references (e.g., 'state' is typed as 'ConversationState' with no schema definition visible). No output schemas documented. The 'apply_delta' tool accepts a bare 'dict' with no structure guidance. Error handling is absent, no recovery guidance, no validation messages. Tool naming is reasonable (verb_noun pattern), but parameter naming is vague ('delta' could mean anything). No evidence of idempotency, pagination, or composition patterns. This is a minimal, research-grade implementation unsuitable for production agent use.
Apply extracted state changes to the session state.
Use a small model to extract state changes from a conversation turn.
No parameter-level descriptions. Parameters like 'state', 'user_message', 'assistant_response', 'model', 'ollama_url', and 'delta' lack any explanation of their purpose, format, or constraints. LLMs cannot infer meaning from names alone.
Input schemas incomplete. 'ConversationState' is referenced but not defined in visible code. 'delta' parameter is typed as 'dict' with no structure, LLMs cannot validate or construct valid deltas. Missing type definitions for all parameters except top-level object names.
No output schemas documented. What does extract_state_delta return? What fields are in the delta? What does apply_delta return? LLMs cannot plan downstream calls without knowing response structure.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 43 | 2026-07-28+ | v2 |
No error handling or recovery guidance. If Ollama is unreachable, if the model fails, or if delta application fails, what happens? No error messages, no retry guidance, no fallback options.
Tool descriptions are too brief (10-50 chars). 'Use a small model to extract state changes' and 'Apply extracted state changes' lack context on WHEN to use these tools, what ConversationState contains, or how they compose. Descriptions should be 50-200 chars with actionable guidance.