> ## Documentation Index > Fetch the complete documentation index at: https://docs.enneo.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get a specific quality assessment > Retrieve a quality assessment in full format. User must have permission to view this assessment. ## OpenAPI ````yaml https://dev.enneo.dev/api/mind/docs/open-api get /quality/assessment/{id} openapi: 3.0.0 info: version: '1' title: enneo.MIND API description: This describes the API of enneo Mind, the main ticketing backend contact: name: enneo GmbH email: richard@enneo.ai license: name: Proprietary software url: https://enneo.ai servers: - url: https://demo.enneo.ai/api/mind description: Production server, demo client - url: https://main.enneo.dev/api/mind description: Development main branch - url: http://localhost:8005/api/mind description: Local development server security: - bearerAuth: - api - cookieAuth: - api paths: /quality/assessment/{id}: get: tags: - Quality Management summary: Get a specific quality assessment description: >- Retrieve a quality assessment in full format. User must have permission to view this assessment. operationId: getQualityAssessment parameters: - name: id in: path required: true description: Assessment ID schema: type: integer responses: '200': description: Successful operation content: application/json: schema: $ref: '#/components/schemas/QualityAssessment' examples: default: summary: Full assessment with complete scoring data value: id: 901 scorecardId: 42 scorecardBaseId: 17 state: reviewedBySupervisor assessedUser: 23 assessedByUser: 12 ticketId: 8821 worklogId: 551 createdAt: '2024-06-12T10:20:00Z' modifiedAt: '2024-06-12T11:05:00Z' deletedAt: null canEdit: true data: aiSummary: AI summary of the conversation... categories: - categoryId: 1 criteria: - id: 10 score: 4 reason: Greeting was warm. state: humanVerified lastEditedByUserId: 12 lastEditedAt: '2024-06-12T10:55:00Z' totals: scoredPoints: 4 usedMaxPoints: 5 totalMaxPoints: 5 percentage: 80 - categoryId: 2 criteria: - id: 22 score: 3 reason: Needs to confirm resolution steps. state: humanVerified lastEditedByUserId: 12 lastEditedAt: '2024-06-12T10:57:00Z' totals: scoredPoints: 14 usedMaxPoints: 15 totalMaxPoints: 20 percentage: 93.3 totals: scoredPoints: 18 usedMaxPoints: 20 totalMaxPoints: 25 percentage: 72 supervisorAssessment: Great rapport, focus on closing next time. assessmentDate: '2024-06-12T11:00:00Z' discussionDate: null editingHistory: - userId: 12 timestamp: '2024-06-12T10:55:00Z' field: criteria.1.10.score oldValue: 3 newValue: 4 worklog: userId: 23 worklogId: 551 lastInteraction: '2024-06-12T09:59:00Z' ticketId: 8821 conversationId: 331 action: reply actionList: - reply - internal-note aiUsage: automationLevel: 2 automationLevelLabel: Assisted aiAgents: [] time: duration: 480 durationAfterWork: 120 segments: [] customerExperience: slaMet: true netSecondsClosedAfterSla: -30 closingDateForSLA: '2024-06-12T09:40:00Z' dueDateForSLA: '2024-06-12T10:00:00Z' reOpened: false csat: null '403': description: Unauthorized (no permission to view this assessment) '404': description: Assessment not found '500': description: Internal error components: schemas: QualityAssessment: type: object description: Quality assessment of agent performance on a specific work session properties: id: type: integer description: Assessment ID example: 1 scorecardId: type: integer description: ID of the scorecard used example: 1 scorecardBaseId: type: integer description: Base ID of the scorecard used example: 1 state: type: string enum: - unprocessed - aiInProgress - aiReady - reviewOngoing - reviewedBySupervisor - discussedWithAssessee - error - deleted description: Assessment workflow state example: aiReady assessedUser: type: integer description: ID of the assessed user (agent) example: 42 assessedByUser: type: integer nullable: true description: ID of the supervisor who assessed ticketId: type: integer description: Related ticket ID example: 12345 worklogId: type: integer nullable: true description: Related worklog ID aiSummary: type: string description: AI-generated summary (summary format) example: Good job overall, scored 85% totals: type: object description: Score totals properties: scoredPoints: type: integer description: Points achieved example: 24 usedMaxPoints: type: integer description: Maximum points for scored criteria example: 32 totalMaxPoints: type: integer description: Maximum points for all criteria example: 47 percentage: type: number description: Percentage score example: 75 data: type: object description: Full assessment data (full format only) properties: aiSummary: type: string general: type: object description: Work session metadata additionalProperties: true aiUsage: type: object description: AI automation metrics additionalProperties: true time: type: object description: Time tracking information additionalProperties: true customerExperience: type: object description: Customer satisfaction metrics additionalProperties: true categories: type: array description: Scored categories and criteria items: type: object additionalProperties: true totals: type: object additionalProperties: true supervisorAssessment: type: string nullable: true assessmentDate: type: string format: date-time nullable: true discussionDate: type: string format: date-time nullable: true createdAt: type: string format: date-time modifiedAt: type: string format: date-time canEdit: type: boolean description: Whether current user can edit this assessment securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: JWT description: JWT-based authentication x-scopes: api: Full access to the API cookieAuth: type: apiKey in: cookie name: connect.sid description: Cookie-based authentication x-scopes: api: Full access to the API ````