NLP Tools - Sentiment, NER, Toxicity & Language Detection

Each tool has a clearly distinct purpose with no overlap: sentiment analysis, toxicity detection, service health check, language detection, PII detection, and named entity extraction. The descriptions clearly differentiate their domains and outputs, making misselection unlikely.

The naming follows a consistent verb_noun pattern (analyze_sentiment, analyze_toxicity, detect_language, detect_pii, extract_entities) with one minor deviation (check_nlp_service uses 'check' instead of a more specific verb, but it still fits the pattern). Overall, the naming is predictable and readable.

With 6 tools, the server is well-scoped for NLP tasks covering sentiment, toxicity, language, PII, NER, and service health. Each tool earns its place without feeling bloated or sparse, providing a focused set of capabilities.

The toolset covers key NLP domains (sentiment, toxicity, language, PII, NER) with a health check, but there are minor gaps such as missing text summarization or translation tools that might be expected in a broader NLP toolkit. However, the provided tools are comprehensive for their stated purposes.