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Tool Analytics provides detailed performance monitoring and usage insights for individual tools within your MCP servers. Analyze tool-specific metrics, compare performance across tools, and optimize tool implementations for better AI agent interactions.

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Tool Selection and Navigation

When a tool is selected, you’ll see:
  • Tool name and description: Clear identification of the selected tool
  • Performance metrics: Same comprehensive analytics as server-level
  • Usage statistics: Tool-specific execution data
  • Historical trends: Performance changes over time

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Key Tool Metrics

Tool analytics display the same core metrics as server analytics, but focused on individual tool performance:

Tool Requests

Total number of executions for this specific tool

Success Rate

Percentage of successful tool executions vs total attempts

Failures

Number of failed executions, errors, or timeouts for this tool

Execution Time

Average time taken for tool execution and response
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