HoarderMCP exhibits significant definition quality gaps. Tool descriptions are minimal (6-30 chars), well below the 194-char baseline for production tools. Input schemas are severely underdeveloped: most parameters lack type definitions and descriptions. The 'request' parameter in ingest_documents and search_documents is documented only as 'object' with no nested schema visibility. Parameter descriptions are absent or trivial. No output schemas are documented. Error handling provides no recovery guidance. The server follows a basic FastAPI pattern but does not optimize for LLM reasoning, tool names are clear (verb_noun), but parameter design and schema completeness fall far short of production standards.

• Expand tool descriptions to 100 - 200 characters. Example: 'ingest_documents: Ingest web content or documents from URLs or file sources. Processes content asynchronously and returns a job_id for status tracking. Use get_ingest_status to monitor progress.'
• Define nested schemas for 'request' parameters. Expand ingest_documents to show: request.sources (array of {url, type, format}), request.chunking_config (chunk_size, overlap), request.embedding_model. Use JSON Schema $ref or inline definitions.
• Add parameter descriptions with format and constraints. Example: job_id: 'UUID of the ingestion job returned by ingest_documents. Format: UUID v4.'
• Document output schemas for all tools. Define IngestResponse fields (job_id, status, message, document_ids), search result structure (doc_id, title, content, score, metadata), and document object schema.
• Enhance error responses with recovery guidance. Example: 'Invalid job_id format. Expected UUID v4. Call ingest_documents to start a new ingestion job and retrieve a valid job_id.'

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

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