Three tools present with basic schemas and descriptions. All tools have input schemas with type definitions and parameter descriptions, meeting minimum requirements. However, descriptions are generic and lack actionable context for LLM selection. The 'add' tool is trivial. 'searchChannels' has 13 parameters with inconsistent typing (union of number|string) that invites LLM confusion. 'getChannelPosts' is simpler but lacks output schema documentation. No error recovery guidance, no idempotency hints, no permission declarations. Naming follows verb_noun convention but lacks specificity about what data is returned vs. filtered.

• Replace union types (number|string) with strict number types for maxPages, participantsFrom, participantsTo, avgReachFrom, avgReachTo, ciFrom, ciTo. Convert string inputs inside the tool handler, not in the schema.
• Document output schemas for all tools. E.g., searchChannels returns array of {title, username, subscribers, avg_reach, category, url}; getChannelPosts returns array of {text, date, views, has_media, url}.
• Implement proper MCP error responses (not JSON-stringified text). Return {isError: true, content: [{type: 'text', text: 'User-friendly error message'}]} or use MCP's error response format.
• Expand tool descriptions to 80-150 chars explaining purpose and when to use. E.g., 'Search Telegram channels by name, subscribers, reach, or citation index. Use this to discover channels matching specific criteria before fetching posts.'
• Add pagination: searchChannels should accept offset/limit and return total_count. Cap results at 20-50 items per page to prevent context explosion.

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

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