noptiera has 2 tools with basic schemas and descriptions present, but significant quality gaps. Both tools have non-empty descriptions (10-100+ chars) and input schemas with types defined, meeting baseline documentation presence. However, descriptions are functional but lack depth, they state WHAT the tool does but not WHEN to use it, what prerequisites exist, or what the agent should expect. Parameter descriptions are present but minimal (e.g., 'URL to ingest' for `url`, 'Search query text' for `query`). Neither tool documents output schema, the code returns plain strings, not structured objects, which forces LLMs to parse unstructured text. No parameter constraints (enums, min/max) are declared. Error handling is minimal: the code catches exceptions but returns generic messages without recovery guidance. The `ingest` tool modifies state (creates indexes) but the description doesn't explicitly state this is a write operation. The `search` tool defaults to top_k=5 but doesn't explain why that's the default or what happens if results exceed the limit. No security documentation (what permissions does each tool require?). Overall, the server meets the bare minimum for tool registration but falls short of production-quality definitions that would guide LLM reasoning effectively.

• Upgrade tool descriptions to 100-200 characters following LLM-optimized style: explain WHAT (download/index article), WHEN (user wants to save content), and CONTRAST (vs. search, which retrieves indexed articles). Example for `ingest`: 'Download and store an article from a URL. Call this when the user wants to save content for later searching. Supports re-indexing with force=true. Returns the article title, summary, and auto-generated tags.'
• Document output schemas explicitly in the description or as a structured schema property. For `ingest`: return {title, summary, tags, skipped, slug}. For `search`: return {results: [{title, url, metadata, relevance_score}], total_results}.
• Add min/max constraints to numeric parameters. For `top_k`, document 'Number of results to return (1-100, default 5). Larger values may slow search.'
• Add enum constraints or format hints to parameters where applicable. If `force` is truly a boolean, that's fine, but consider adding a description: 'If true, re-index even if the URL is already in the index. Use for updates.'
• Implement structured error handling: catch exceptions and return a typed error response with (error_code, message, recovery_hint). Example: {error: 'url_unreachable', message: 'Failed to fetch https://example.com', recovery: 'Check the URL is valid and publicly accessible.'}
• Add security/permission documentation. Define what credentials/scopes each tool requires (e.g., 'Requires read-write access to the knowledge base index.'). Log tool calls with user/agent ID, timestamp, parameters, and result.

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

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