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Toolset Context Reduction
Identify low-value exposed tools while preserving unique task coverage.
AI Agent Tool Selection Optimizer - MCP Routing & Cost Auditquanmatrix/ai-agent-tool-selection-optimizer
Analysis type
Optimization mode
Confidence
Analyzed tools
+23 fieldsTextNumberBooleanListObject
Input
Observed tool usage(required)
tool_id:docs_search+1
usage_count:120+1
success_count:116+1
avg_latency_ms:180+1
p95_latency_ms:320+1
avg_cost_usd:0.0012+1
task_types
Optimization goal:balanced
Maximum default toolset size:1
Minimum observed calls:1
Estimated context tokens per exposed tool:160
Previous analysis baseline
Monthly call volume:10000
Context token cost per million (USD):2.5
Output fields
Analysis type
Optimization mode
Confidence
Analyzed tools
Observed calls
Recommended active tools
Prune candidate count
Current observed cost usd
Observed cost on prune candidates usd
Context reduction candidate pct
Estimated context tokens reduced
Recommendations
Routing policy
Reliability risks
Validation note
Baseline available
Active tool delta
Observed cost delta percent
Projected monthly calls
Projected current monthly tool cost
Projected optimized monthly tool cost
Estimated monthly savings
Estimated annual savings
Estimated monthly context tokens reduced
Optimization confidence score
Decision
Decision reasons
Sign up on Apify01
Create your Apify account to access the AI Agent Tool Selection Optimizer - MCP Routing & Cost Audit.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
