Server has 8 tools with basic schemas and descriptions, but significant gaps prevent higher scores. All tools have descriptions (10-200 chars, baseline 194), and input schemas are present with required fields and type definitions. However, output schemas are completely undocumented, LLMs cannot plan downstream calls or extract structured data. Parameter descriptions are minimal (many under 50 chars). No error handling guidance, no recovery patterns, no actionable error messages. Tools lack annotations (readOnlyHint present in metadata but not in schema). Naming is verb-forward (search_, screen_, track_) but some tools combine multiple concerns (compliance_risk_report fans out to 4 sources). No pagination support despite tools returning lists. Missing parameter constraints (enums for entity types, form types, date ranges). Overall: functional but below production baseline.

• Document output schemas for all 8 tools. Example: search_regulations should return {enforcementActions: [{id, product, firm, classification, date}], totalResults: number, nextCursor?: string}. This enables LLM planning and field extraction.
• Add enum constraints to parameters. sanctions_screen.type should be enum ['person', 'company', 'all']. regulatory_filing_tracker.dateRange should be enum ['7day', '30day', '90day', '1year']. Removes hallucination risk.
• Implement pagination for list-returning tools. Add limit (1-100, default 20) and cursor parameters. Return totalResults and nextCursor in responses. Prevents context window exhaustion.
• Split compliance_risk_report into separate tools: check_fda_enforcement, check_sanctions, check_sec_filings, check_export_controls. Allows agents to compose selectively and retry individual checks.
• Add error handling guidance. Return structured errors: {error: string, code: 'not_found'|'invalid_input'|'rate_limited', suggestion: string}. Example: 'Company not found. Try search_regulations with product name instead.'