Decree No. 12,603/2025 and MEC Ordinance No. 524/2026 established SINAEPT, the national evaluation system for Vocational and Technological Education (EPT), with five evaluative dimensions: supply conditions; flow and performance; diagnostic assessment of skills and abilities; alignment with labor market demands; and graduate tracking. As its operationalization depends on indicator matrices currently under development by INEP, this study aims to understand—based on the articulation between these dimensions and thecc CIPP model (Context, Input, Process, and Product)—the degree and nature of adherence of indicators available in open government databases to these dimensions. This is qualitative documentary research using deductive categorical content analysis on educational databases (INEP and MEC) and labor market databases (MTE and IBGE). Each indicator was assigned to its corresponding dimension via the SINAEPT × CIPP grid and evaluated dichotomously across three axes: conceptual adequacy, informational availability, and technical feasibility. The 21 indicators reveal decreasing adherence: full in supply conditions, and weak in labor market alignment and graduate tracking. The gaps do not stem from a lack of raw data, but from database integration and data meaning, making integration a priority for the system's implementation.