Server defines 4 tools with explicit schemas and basic descriptions. All tools are READ_ONLY and properly typed. However, descriptions are minimal (10-50 chars), parameter descriptions are sparse or missing, and output schemas are undocumented. No error handling guidance, no parameter constraints (enums, ranges), and no composition hints. Naming is verb-based but generic ('search', 'get', 'author', 'structure'). This is typical community-grade work, functional but not production-ready.

• Expand tool descriptions to 100-200 chars. Example: 'search: Query HAL using Solr syntax (e.g. title_t:transformer). Returns up to 10,000 results with metadata. Use fl to select fields, fq to filter, sort to order. Call this first to discover documents; then use get() for full details.'
• Add min/max constraints to numeric parameters in schema. Example: rows: {type: 'number', minimum: 1, maximum: 10000, description: '1-10000 (default 25). Limit results per page.'}
• Document output schema for each tool. Example: search returns {response: {numFound: number, start: number, docs: [{hal_id, title, authors, submittedDate, ...}]}}. Include field types and meanings.
• Add parameter descriptions for all fields. Example: fl: 'Comma-separated field list (e.g. "hal_id,title,authors"). Omit to return all fields.' sort: 'Solr sort clause (e.g. "submittedDate_tdate desc"). Default: relevance.'
• Implement structured error responses with recovery hints. Example: if rows > 10000, return {error: 'rows must be 1-10000', suggestion: 'Use pagination: rows=1000, start=0; then start=1000, etc.'}. If query is empty, return {error: 'query required', example: 'query: "machine learning"'}.