gepa_record_trajectory

Capture and analyze the execution steps and results of AI prompts to evaluate performance, enabling iterative optimization and refinement within the Prompt Auto-Optimizer MCP framework.

Instructions

Record execution trajectory for prompt evaluation

Input Schema

Name	Required	Description
`executionSteps`	Yes	Sequence of execution steps
`metadata`	No	Additional execution metadata (optional)
`promptId`	Yes	Unique identifier for the prompt candidate
`result`	Yes	Final execution result and performance score
`taskId`	Yes	Identifier for the specific task instance

Input Schema (JSON Schema)

{
  "properties": {
    "executionSteps": {
      "description": "Sequence of execution steps",
      "items": {
        "properties": {
          "action": {
            "type": "string"
          },
          "input": {
            "type": "object"
          },
          "output": {
            "type": "object"
          },
          "success": {
            "type": "boolean"
          },
          "timestamp": {
            "type": "string"
          }
        },
        "required": [
          "action",
          "timestamp",
          "success"
        ],
        "type": "object"
      },
      "type": "array"
    },
    "metadata": {
      "description": "Additional execution metadata (optional)",
      "properties": {
        "executionTime": {
          "type": "number"
        },
        "llmModel": {
          "type": "string"
        },
        "tokenUsage": {
          "type": "number"
        }
      },
      "type": "object"
    },
    "promptId": {
      "description": "Unique identifier for the prompt candidate",
      "type": "string"
    },
    "result": {
      "description": "Final execution result and performance score",
      "properties": {
        "output": {
          "type": "object"
        },
        "score": {
          "type": "number"
        },
        "success": {
          "type": "boolean"
        }
      },
      "required": [
        "success",
        "score"
      ],
      "type": "object"
    },
    "taskId": {
      "description": "Identifier for the specific task instance",
      "type": "string"
    }
  },
  "required": [
    "promptId",
    "taskId",
    "executionSteps",
    "result"
  ],
  "type": "object"
}

Prompt Auto-Optimizer MCP

gepa_record_trajectory

Instructions

Input Schema

Input Schema (JSON Schema)

Other Tools from Prompt Auto-Optimizer MCP

Related Tools

MCP directory API