Server has 5 tools with mixed quality. Three tools (listModels, chatCompletion, createEmbedding) have reasonable schemas and descriptions but lack depth. Descriptions are present but generic (10-50 chars for some). Parameter descriptions exist but lack constraint details (ranges, enums, formats). No output schemas documented. Error handling returns text but lacks recovery guidance. Overall: below-average community server.

• Document output schemas for all tools. Example for chatCompletion: 'Returns {content: [{type: string, text: string}], usage: {prompt_tokens: number, completion_tokens: number, total_tokens: number}}'.
• Add constraint details to parameter descriptions. For temperature: 'Range 0.0 - 2.0; default 1.0. Lower = deterministic, higher = creative. Values outside range rejected.' For max_tokens: 'Max 4096 for gpt-3.5-turbo, 8192 for gpt-4. Default: model-dependent.'
• Consolidate tool definitions. Move getApiOverview and getApiOperation from example-openai-server.js into openai-mcp-server.js with full explicit registration and schemas.
• Enhance error messages with recovery guidance. Instead of 'SLOP API error: 404', return 'API not found. Verify the ID is a valid openapisearch.com identifier or a URL to a raw OpenAPI file. Try searching openapisearch.com first.'
• Add enum constraints where applicable. For chatCompletion 'role' parameter, use enum: ['system', 'user', 'assistant'] instead of free-form string description.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry