image-forensics-mcp
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TDQS
Scored across 7 tools
Each tool targets a distinct forensic method (noise, ELA, FFT, spectral decay, color, metadata). However, frequency_analysis and spectral_decay_analysis both operate in the frequency domain and could be confused by an agent unfamiliar with the specific techniques. The descriptions clarify the differences, so overlap is limited.
Six of seven tools follow a consistent noun_analysis or noun_check pattern (e.g., noise_map, frequency_analysis, metadata_check). The outlier is full_forensic_report, which is a different type (aggregate report) but its name is still descriptive. Minor deviation from a strict pattern.
Seven tools is well-scoped for an image forensics server. Each tool provides a distinct analysis technique, and the inclusion of a full report tool adds convenience without redundancy. No tool feels unnecessary or missing.
The surface covers multiple orthogonal forensic techniques: noise, compression artifacts, frequency domain, spectral decay, color, metadata, and a comprehensive aggregator. This is complete for the stated purpose of AI image detection; no obvious gaps exist.