Single tool with basic schema and description present, but significant quality gaps limit production readiness. Tool naming is generic and lacks action verb convention. Description is minimal (71 chars, below baseline of 194 avg). Parameter descriptions exist but lack format guidance. Output schema is completely undocumented, LLMs cannot predict response structure. No error handling guidance, no idempotency markers, no response field documentation. Aligns poorly with 54 agentic patterns.

• Rename tool to 'list_tabnews_articles' (verb_noun convention) so LLMs recognize it as a list/discovery action before reading the description.
• Expand tool description to 100-200 chars: 'Fetch recent articles from TabNews API. Call this to discover available content before searching or filtering. Returns title and URL for each article. Rate-limited to 10 articles per call.'
• Document the response schema in the tool description or as a structured annotation: 'Returns array of objects with fields: title (string), url (string, full article URL)'.
• Add error recovery guidance: 'If fetch fails with network error, retry after 5 seconds. If API returns 403, the service may be rate-limiting, wait 1 minute before retrying.'
• Enhance parameter description: 'limit: Number of articles to fetch (1-10, default 5). Larger limits may increase response time. Call with limit=5 first to sample content.'
• Add readOnlyHint to tool schema (once toolAnnotations are enabled): { readOnlyHint: true } so agents know this is safe to call multiple times.
• Return structured content instead of JSON string: { articles: [{ title: 'Article 1', url: 'https://...' }] } so LLMs can directly access fields without parsing JSON text.