Need to Translate Many MCP Tools
Context engineers need to consolidate many upstream APIs and MCP servers into a smaller set of efficient tools that agents can use effectively.
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Persona Story:
Nina, a context engineer, needs to consolidate many upstream APIs and MCP servers into a smaller set of efficient tools that agents can use effectively.
Problem Context
- Exposing all upstream tools directly overwhelms agent context windows
- Pattern emerging: translate N tools into 3 efficient tools (list, get details, execute)
- Different techniques work better for different models (Sonnet vs. Opus)
Problem Impact
- More efficient context window usage
- Better agent performance with cleaner tool interfaces
- Need model-specific guidance on which techniques work best
Naftiko Today
- Agent Skills exposure groups multiple MCP tools into business-level skills, directly implementing the “translate N tools into 3 efficient tools” pattern
- outputParameters with JSONPath, nested objects, field renaming, and array handling lets context engineers shape upstream API responses into clean, agent-friendly structures
- Multi-step orchestration with cross-step data mapping allows consolidating multiple API calls into a single tool invocation, reducing context window overhead
- Lookup/JOIN operations enable server-side enrichment so agents receive pre-joined data instead of making multiple round trips
Naftiko Tomorrow
- Tool annotations with readOnly/destructive/idempotent markers (Second Alpha) would provide metadata that helps agents and context engineers classify tools by behavior pattern
- Conditional steps with if/for-each/parallel-join (Second Alpha) would enable more sophisticated tool consolidation logic within a single capability
- A2A adapter (Second Alpha) would allow agent-to-agent delegation, enabling hierarchical tool translation across specialized agents
- HTML/Markdown format support (Second Alpha) would expand the output formats available for agent-optimized responses