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AI Assistant with Electron desktop application featuring integrated chat service, local embeddings, and vector database support
This IPC-based Electron chatbot server has serious definition quality gaps. Tool names follow verb_noun convention (e.g., 'chat:create-session'), but descriptions lack LLM-optimized context. Most critically, parameter schemas are minimal, only 'userId', 'sessionId', 'message' are properly typed strings with descriptions. The 'options' parameter in chat:send-message and chat:stream-message is defined as a generic object with only a description string ('Optional parameters...') and NO nested schema. No output schemas are documented anywhere. Error handling exists (try-catch blocks) but returns only {success: boolean, error: string}, no actionable recovery guidance as required by pattern:recovery-guide. No tool-level permission declarations, no destructive operation warnings, and the STDIO transport (IPC within Electron) makes remote testing impossible.
Create a new chat session for a user
Delete a chat session by ID
Get the status of all chat services (chatbot, vector database, embedding)
Retrieve an existing chat session by ID
Send a message in a chat session and receive a response
Stream a message response from the chatbot
Parameter 'options' in chat:send-message and chat:stream-message lacks nested schema. Defined as type 'object' with only a text description ('Optional parameters including model, temperature, maxTokens, systemPrompt'). LLMs cannot validate or discover valid option keys.
No output/return schemas documented for any tool. Tool descriptions state what they do but never specify the structure of returned data (e.g., what fields does a session object contain? What does chatbot.sendMessage return?). This prevents LLMs from planning downstream calls or extracting specific fields.
Descriptions are generic and under-optimized for LLM selection. Example: 'Send a message in a chat session and receive a response' (65 chars). No guidance on WHEN to use this vs chat:stream-message, no mention that it blocks until response, no hint about maxTokens or model parameter behavior. Baseline: A+ tools average 194 chars with clear selection rationale.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 44 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 0 | - | v1 |
chat:delete-session lacks a confirmation or dry-run option. Destructive operations should support reversal or approval gates per pattern:confirmation-request. Current implementation allows immediate deletion with no recovery path.
Error messages return raw error strings only (e.g., 'Chat service not available', 'Error deleting session'). No error classification (retryable vs user-fixable vs fatal), no actionable recovery guidance. Per pattern:recovery-guide, errors should instruct the LLM: 'Session not found. Try chat:get-service-status first to verify connectivity.'
No tool-level permission declarations or scope hints (e.g., 'read:chat', 'write:chat', 'admin:delete'). Cannot determine least-privilege agent configuration or audit who did what.
chat:stream-message does not actually stream. Handler returns the same {success, data} structure as chat:send-message. Description claims 'Stream a message response' but implementation just calls chatService.sendMessage() with no streaming mechanism (no SSE, no chunked response, no iterator). This misleads LLMs about the tool's capability.