A
licenseNot graded
qualityB
maintenanceAgentic sales pipeline that detects buying intent from social feeds, scores leads via an AI swarm, and auto-drafts calibrated replies for prospect nurturing.
216
MIT
Launch Engine
by ZionHopkins
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TDQS
B3.1/5.0
Scored across 45 tools
Disambiguation4/5
Most tools have distinct purposes and descriptions that clearly separate them, such as the passive_* and rapid_* groups. Some potential overlap exists (e.g., research vs. market_intel, scout vs. tournament), but descriptions sufficiently differentiate them.
Naming Consistency4/5
Names use consistent snake_case and are descriptive. However, there is a mix of noun-first (e.g., content_engine, market_intel) and verb-first (e.g., build_blocks, save_asset) patterns, which is a minor inconsistency but still predictable.
Tool Count2/5
With 45 tools, the server is overloaded. This far exceeds the typical well-scoped range (3-15) and is likely to overwhelm agents, leading to inefficiency and selection difficulty.
Completeness5/5
The tool set covers the full lifecycle of a marketing launch pipeline from ideation, research, product, content, campaigns, validation, optimization, scaling, to ongoing monitoring and learning. No obvious gaps are present.
Maintenance
ActivityInactive
ResponsivenessSlow