# Tool Selection Efficiency Calculator AI Agent Connect

> Optimize tool routing and performance monitoring for tool-augmented agents.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_pCUHZoGluRfK0G0J8qJXVpL0thJqTM4A6JmMZfd3/ai-agent-connect
- **Tags:** routing, efficiency, latency, reliability, metrics

## Description

This MCP server provides a deterministic evaluation engine to optimize tool routing for AI agents. It calculates capability alignment, efficiency scores, and resource headroom to ensure the most reliable and fastest tool selection. Use `calculate_routing_metrics` to determine the best tool for a task, `validate_tool_availability` to check capacity, and `summarize_performance_profile` to monitor overall toolset health.

## Tools

### calculate_routing_metrics


### summarize_performance_profile


### validate_tool_availability


## Prompt Examples

**Prompt:** 
```
Which tool should I use for a task requiring high reliability and low latency?
```

**Response:** 
```
The `calculate_routing_metrics` tool will identify the optimal selection by balancing the efficiency score and rate limit headroom.
```

**Prompt:** 
```
Check if my tools are overloaded.
```

**Response:** 
```
You can use `validate_tool_availability` to verify if any tool's current usage has reached its maximum allowed calls per minute.
```

**Prompt:** 
```
What is the total latency for the fallback sequence?
```

**Response:** 
```
The `tool_chain_latency` value provided in the routing metrics output represents the cumulative latency of all tools in the fallback chain.
```

## Frequently Asked Questions

**How is the recommended tool selected?**
The recommended tool is the one that maximizes the product of its efficiency score and its current rate limit headroom.

**What is the purpose of the fallback chain?**
The fallback chain provides a prioritized list of alternative tools, ordered by capability match score, to ensure continuity if the primary tool fails.

**Can I monitor the health of my entire toolset?**
Yes, you can use `summarize_performance_profile` to get high-level metrics like average latency and maximum success rate across all available tools.