NeuralHub exhibits significant definition quality gaps across 21 tools. Most tool descriptions are present but lack LLM-optimized structure (many under 50 chars or overly generic). Parameter descriptions are sparse or missing entirely. Input schemas are visible but incomplete: many parameters lack type constraints, enums, or validation guidance. No output schemas documented. Error handling is absent from descriptions. Tool naming is inconsistent (mix of verb_noun and bare nouns). Browser action tools (click_selector, fill, scroll, etc.) are minimally described. Knowledge and proxy tools lack dependency hints and recovery guidance. Only 3 tools have descriptions exceeding 100 chars; most cluster around 30-80 chars, below the 194-char baseline for A+ tools.

• Expand browser action tool descriptions to 50-150 chars each, explaining purpose and return value. E.g., 'click_selector: Click a DOM element matching the CSS selector. Returns success or error message.' Include when to use (e.g., 'Use after wait_for_selector confirms element is present').
• Document output schemas for all tools. At minimum, specify return type (string, object, array) and key fields. E.g., knowledge_search should return {results: [{chunk_id, text, score}], total_count}.
• Add enum constraints to proxy_chain 'action' parameter. List valid actions (e.g., 'add', 'remove', 'list', 'test') in the schema and description.
• Add dependency hints to knowledge tools. E.g., knowledge_search description: 'Search a knowledge base. First call knowledge_list_kbs to find available kb_id values. Returns top_k chunks ranked by relevance.'
• Enhance TodoUpdate description with state machine rules: 'Update, add, or remove steps in the current plan. Cannot modify completed or in-progress steps. step_id is the numeric identifier from the current plan. Use after reviewing the plan structure.'

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

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