The server exposes a single tool, genius_ingest_search, with adequate naming and clear descriptions. The tool definition is explicit in the code (genius_agent/mcp_server.py). Input schema is present with proper types (string query, integer max_results) and constraints (minLength, maxLength, minimum, maximum). However, the output schema is not documented in the provided source, and error handling guidance is absent. The tool description is clear but could be more specific about return structure and failure modes. Tool follows verb_noun naming convention ('search' is the action). Parameters have descriptions and reasonable constraints. Risk classification (WRITE) is correctly declared.

• Document output schema explicitly. Specify returned fields (e.g., results[], result[].title, result[].url, result[].snippet, ingestion_status, graph_node_count, duplicates_skipped). Example: {"results": [{"title": "...", "url": "...", "rank": 1, "ingested": true}], "total_ingested": N, "duplicates_found": M}
• Add error handling guidance to description. Include: 'On network timeout, the partial results ingested are retained. On invalid query syntax, returns actionable error with examples of valid queries. On malformed max_results, returns 400 error explaining the 1-50 constraint.'
• Clarify idempotency mechanism in description. State whether duplicate queries return cached results or re-fetch, and how the graph deduplicates previously-ingested sources.
• Enhance parameter descriptions. For 'query', specify example formats and forbidden characters. For 'max_results', explain that fewer results may be returned if fewer are available after ranking.
• Add discovery hints. E.g., 'Call this tool to populate the knowledge graph with evidence. Chain with other graph analysis tools to extract insights from ingested sources.'

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

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