imagelens.vercel.app

{
  "name": "analyze_image",
  "kind": "act",
  "impl": "imperative",
  "description": "Runs ImageLens's local forensic analysis (provenance manifest, metadata, frequency, noise, compression, texture, DCT/Benford statistics, CFA demosaicing trace) on the image the user has currently dropped into the app, and returns the overall AI-detection score and a summary. Call this first, before the other tools.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_detection_score",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the overall AI-generation likelihood score (0-100), label, and whether it was decided by verifiable evidence (provenance manifest or metadata) rather than a statistical blend. Call analyze_image first.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_forensic_signals",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns every forensic signal (provenance, metadata, frequency, noise, compression, texture, statistical/DCT, CFA) for the last analyzed image, each with its level and a plain-text explanation. Call analyze_image first.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_provenance",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the provenance-manifest signal: whether a C2PA / Content Credentials structure was detected, any generative-origin mention found inside it, and a raw byte preview. This is the strongest signal when present — the cryptographic signature itself is not verified, only structural presence. Call analyze_image first.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_metadata",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the metadata signal only: EXIF camera fields, embedded software/generator text, and any known generator name detected. Call analyze_image first.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_frequency_analysis",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the frequency-domain signal only: spectral anomaly ratio, whether periodic upsampling artifacts were detected, and an explanation. Call analyze_image first.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_statistical_analysis",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the DCT/Benford statistical-signature signal: deviation from Benford's Law on DCT AC coefficients, excess kurtosis, and skewness. Call analyze_image first.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_cfa_analysis",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the CFA/demosaicing-trace signal: strength of the period-2 Bayer-sensor interpolation pattern found in the green channel. Call analyze_image first.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_report",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the complete structured forensic report for the last analyzed image: file info, overall score, every signal, and the summary. Call analyze_image first.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}