track_agent_performance

Monitor and evaluate AI agent performance by tracking key metrics such as tokens used, time elapsed, validation score, security score, and test coverage to optimize efficiency and quality.

Instructions

Track and analyze AI agent performance metrics

Input Schema

Name	Required	Description
`featureName`	Yes	Name of the feature being tracked
`improvements`	No
`metrics`	Yes
`timestamp`	Yes	ISO timestamp of the feature completion

Input Schema (JSON Schema)

{
  "properties": {
    "featureName": {
      "description": "Name of the feature being tracked",
      "type": "string"
    },
    "improvements": {
      "properties": {
        "qualityIncrease": {
          "type": "number"
        },
        "timeReduction": {
          "type": "number"
        },
        "tokenReduction": {
          "type": "number"
        }
      },
      "type": "object"
    },
    "metrics": {
      "properties": {
        "errors": {
          "properties": {
            "runtime": {
              "type": "number"
            },
            "syntax": {
              "type": "number"
            },
            "type": {
              "type": "number"
            }
          },
          "type": "object"
        },
        "hallucinations": {
          "properties": {
            "detected": {
              "type": "number"
            },
            "examples": {
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "prevented": {
              "type": "number"
            }
          },
          "type": "object"
        },
        "securityScore": {
          "type": "number"
        },
        "testCoverage": {
          "type": "number"
        },
        "timeElapsed": {
          "type": "number"
        },
        "tokensUsed": {
          "type": "number"
        },
        "validationScore": {
          "type": "number"
        }
      },
      "required": [
        "tokensUsed",
        "timeElapsed",
        "validationScore",
        "securityScore",
        "testCoverage"
      ],
      "type": "object"
    },
    "timestamp": {
      "description": "ISO timestamp of the feature completion",
      "type": "string"
    }
  },
  "required": [
    "featureName",
    "timestamp",
    "metrics"
  ],
  "type": "object"
}

AI Agent Template MCP Server

track_agent_performance

Instructions

Input Schema

Input Schema (JSON Schema)

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