Two tools with visible schemas and descriptions, but significant quality gaps. Tool names lack action verbs (pubmed_search is acceptable but load_impact_factor is weak). Descriptions are present but generic and in Korean, limiting LLM comprehension. Schemas are properly typed but lack parameter constraints (enums, ranges). No output schema documented. Error handling is minimal, responses lack recovery guidance. No security considerations for file I/O or API key exposure in environment variables.

• Rename tools to verb_noun convention: 'search_pubmed' and 'load_impact_factor_data'. Ensure names are in English for LLM clarity.
• Rewrite descriptions in English, 50 - 200 characters each. Example: 'pubmed_search: Search PubMed for medical research papers by query, return top results sorted by Impact Factor. Call load_impact_factor_data first to enable ranking.'
• Add output schema documentation. Specify that pubmed_search returns {totalResults, processedResults, relevantResults, outputDirectory, outputFiles} and load_impact_factor returns {journalCount, status}.
• Remove hardcoded API key from source. Use process.env.NCBI_API_KEY only; fail gracefully if not set. Document required environment variables in README.
• Add parameter constraints: maxResults (min 1, max 100, default 10), outputDir (must be writable directory), filePath (must exist and be valid JSON). Return actionable errors: 'maxResults must be 1 - 100, got 500'.