Three tools with identical input schemas and minimal descriptions. All tools are read-only informational utilities with no state-modifying operations. Naming lacks action verbs (gateway_notes, smoke_test_commands, launch_checklist are noun-heavy). Descriptions are present but generic (34-65 chars, below the 50-200 char LLM-optimized baseline). Parameter descriptions are adequate but repetitive across all three tools. No output schemas documented. Tools appear to be utility/discovery-class rather than core operational tools, limiting their value in agent workflows.

• Rename tools with action verbs: 'describe_gateway_config', 'generate_smoke_test_commands', 'generate_launch_checklist'. This signals intent and helps LLMs disambiguate.
• Expand descriptions to 80-150 chars each. For gateway_notes: 'Describe the OpenAI-compatible gateway configuration, environment variables, and endpoint validation. Call this first to verify your base URL and model IDs are correct.' For smoke_test_commands: 'Generate curl commands to test the gateway's /models, /chat/completions, and /embeddings endpoints. Use these to validate connectivity before deploying agent workflows.'
• Document output schemas explicitly. E.g., gateway_notes returns {baseUrl: string, endpointRoot: string, env: {OPENAI_COMPAT_BASE_URL, OPENAI_COMPAT_API_KEY, OPENAI_COMPAT_CHAT_MODEL, OPENAI_COMPAT_EMBEDDING_MODEL}, cta: string, disclosure: string}.
• Add conditional parameter guidance. Clarify that baseUrl, chatModel, and embeddingModel are optional and fall back to environment variables or defaults. Explain when to override defaults vs. relying on env vars.
• Consider merging the three tools into a single 'describe_gateway_setup' tool that returns all three outputs (notes, smoke_test_commands, checklist) in one call, reducing redundancy and improving composability.