Server has 12 tools with basic schemas and descriptions, but significant quality gaps prevent production use. Tool naming is mostly verb-based (query_, get_, store_, read_, search_, extract_, analyze_, generate_) but lacks clarity in distinguishing overlapping operations (three 'read_document' tools with identical names). Descriptions are present but generic (10-50 chars), below the 50-200 char LLM-optimized baseline. Parameter descriptions are sparse or missing entirely. Output schemas are undocumented, no guidance on what fields agents should expect. Error handling is absent; no recovery guidance or actionable error messages. Security concerns: no evidence of input validation, SQL injection protection, or secret injection patterns. Composition issues: duplicate tool names (read_document appears 3 times), unclear tool boundaries (query_database vs query_documents), and no pagination support despite database queries.

• Rename duplicate 'read_document' tools to 'read_document_from_database', 'read_document_from_filesystem', and 'read_document_from_uri' to disambiguate. Each should have a distinct name reflecting its source.
• Expand all parameter descriptions to 50-100 chars. Example: 'doc_type' → 'Document category: contract, report, legal_brief, memo, or other. Used to filter query results by document classification.'
• Document output schemas for every tool. Example for query_documents: 'Returns array of {id: string, title: string, doc_type: string, status: string, word_count: integer, created_at: ISO8601}.'
• Add pagination to query_documents and search_documents: accept 'offset' (default 0) and 'limit' (default 20, max 100), return 'total_count' and 'has_more' fields.
• Implement actionable error messages. Replace 'Document not found' with 'Document ID "xyz" not found. Try search_documents() to find documents by keyword, or query_documents() to list recent documents.'