Server has 4 tools with basic descriptions but critical gaps in schema completeness and parameter documentation. Tool names follow verb_noun convention (enrich_lead, draft_outreach, analyze_pipeline, send_report), which is good. However, most tools lack comprehensive input schemas, only enrich_lead and draft_outreach show explicit parameter definitions. analyze_pipeline has empty input schema {}. Descriptions are present but generic (avg ~120 chars), lacking WHEN/WHY guidance and dependency hints. No output schemas documented. Error handling and recovery guidance absent. No tool annotations (readOnlyHint/destructiveHint) despite clear risk levels. Parameter descriptions are minimal. This is a D-grade server with foundational issues.

• Add explicit output schemas for all tools. Document what fields enrich_lead returns (ICP score, company name, contact data, priority level) so LLMs can extract and chain results.
• Expand analyze_pipeline input schema. Document what data it reads (e.g., from a database or API), whether it accepts filters (date range, deal stage), and what parameters control the analysis.
• Rewrite tool descriptions to follow the pattern: 'Does X. Use when: Y. Requires: Z. Returns: W.' Example: 'Enriches a lead with B2B intelligence. Use when: you have an email and want prospect profile. Requires: valid email. Returns: ICP score, company intel, contact data, priority.'
• Add enum constraints for send_report's 'channel' parameter. Replace default='sales-alerts' with an explicit list of valid Slack channels so LLMs pick from known options.
• Implement confirmation pattern for send_report. Add a 'dry_run' parameter (default false) or a separate 'preview_report' tool so agents can review before sending to Slack.

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

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