Six tools with clear verb-noun naming (get_, calculate_, compare_, find_, list_, search_) and consistent descriptions (100-150 chars each). All tools have documented input schemas with typed parameters and descriptions. Output schemas are implicit but inferable from code. Error handling is present but minimal, most errors return generic dicts without recovery guidance. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite all being read-only. Parameter descriptions are adequate but lack format constraints (e.g., no enum for provider names, no min/max for limit). Composition is sound: tools chain well (search_llm_models → get_model_pricing → calculate_api_cost). No secrets exposed. Naming is consistent and action-oriented.

• Add readOnlyHint=true to all six tool definitions in FastMCP decorator to signal safety to LLMs and agents.
• Enhance error messages with recovery guidance: 'Model not found. Try search_llm_models(query="gpt") to find similar models.' Pattern: recovery-guide.
• Add enum constraint to 'provider' parameter in search_llm_models with all supported provider names extracted from PROVIDERS data.
• Document output schemas as JSON Schema in tool docstrings. E.g., get_model_pricing returns {model: string, provider: string, input_per_mtok_usd: number, ...}.
• Add explicit min/max constraints to numeric parameters: limit (1 - 20), input_tokens (0 - 2000000), output_tokens (0 - 2000000) in descriptions.