txt2mcp provides a single search tool with a clear verb-based name ('search') and reasonable description. The tool has a properly typed input schema using Zod with a string query parameter and numeric k parameter, both with descriptions. However, the server lacks several key quality patterns: no pagination support despite potentially returning many results, no explicit output schema documentation, limited error handling guidance, no tool annotations for read-only operations, and minimal parameter constraints. The description is adequate (92 characters) but could be more specific about use cases and limitations. Overall, this is a functional but sparse implementation that follows basic patterns but misses production-grade refinements.

• Add explicit output schema documentation: specify that results are returned as formatted markdown text with sections for hit count, result list, and per-chunk content. Example: {type: 'text', text: '<formatted markdown>'}.
• Implement pagination: add cursor or offset/limit pattern so agents can iterate over large result sets without rebuilding the index. Document the mechanism in the tool description.
• Add parameter constraints: update k description to '(1-100, default 5)' and consider adding min/max validation in Zod schema.
• Add tool annotation: use readOnlyHint=true in tool registration to signal to clients that this operation is safe to retry and does not modify state.
• Improve error handling: when content is not loaded, return specific guidance: 'No content available. Upload a file first by calling the /upload endpoint, or ensure the document ID is correct.'
• Cache search index: instead of rebuilding the Orama index on every call, cache it in the state or server memory keyed by content hash. This will deliver the efficiency promised in the description.
• Document query syntax: add to the query parameter description what search features are supported (stemming, boolean operators, phrase search, etc.) so LLMs craft better queries.