iLook Face Analysis

Analyze user-submitted face photos with a complete report or 13 focused face-analysis tools.

Should I use this

Quality & Safety

A
Description quality
64%
Schema completeness
100%
Naming quality
96%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (10)

  • LOWTool 'score_face' description lacks action verbin score_face
  • LOWTool 'rate_jawline' description lacks action verbin rate_jawline
  • LOWTool 'analyze_adult_face_age_cues' description lacks action verbin analyze_adult_face_age_cues
  • LOWTool 'analyze_facial_symmetry' description lacks action verbin analyze_facial_symmetry
  • LOWTool 'analyze_golden_ratio_face' description lacks action verbin analyze_golden_ratio_face
  • LOWTool 'run_attractiveness_test' description lacks action verbin run_attractiveness_test
  • LOWTool 'analyze_psl_score' description lacks action verbin analyze_psl_score
  • LOWTool 'calculate_facial_ratios' description lacks action verbin calculate_facial_ratios
  • LOWTool 'analyze_color_palette' description lacks action verbin analyze_color_palette
  • LOWTool 'analyze_skin_appearance' description lacks action verbin analyze_skin_appearance

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~5,803Tokens (tool definitions)
~4.9 KBTypical response size
Significant attention impact (4.53% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "face-analysis": {
      "url": "https://www.ilook.fit/mcp"
    }
  }
}

Remote endpoints

https://www.ilook.fit/mcpstreamable-http

What it can do

Tool inventory

Tools (14)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢score_face(image_base64, mime_type, adult_and_authorized, measurement_key)

Returns descriptive face-shape context, five subjective appearance scores, and an approximate Golden Ratio phi score for one authorized adult photo.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    },
    "measurement_key": {
      "type": "string",
      "enum": [
        "face_shape_detector",
        "jawline_rating",
        "canthal_tilt",
        "eye_shape",
        "face_age_cues",
        "facial_symmetry",
        "golden_ratio_face",
        "attractiveness_test",
        "psl_score",
        "facial_ratios",
        "color_analysis",
        "skin_analysis",
        "hairstyle_finder"
      ],
      "description": "Optional. Return only one focused free-tool output instead of the full face report."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "overall_score": {
      "type": "number",
      "description": "Fixed weighted score from 0 to 10."
    },
    "overall_score_100": {
      "type": "integer",
      "description": "The same fixed weighted score from 0 to 100."
    },
    "scores": {
      "type": "object",
      "description": "Five named appearance subscores from 0 to 10."
    },
    "score_explanations": {
      "type": "object",
      "description": "Photo-specific explanation for each named subscore."
    },
    "face_shape": {
      "type": "object",
      "description": "Descriptive visible face-shape category and explanation."
    },
    "phi_score": {
      "type": "object",
      "description": "Separate 0 to 100 Golden Ratio proportion context."
    },
    "measurements": {
      "type": "object",
      "description": "Focused free-tool measurement outputs."
    },
    "summary": {
      "type": "string",
      "description": "Concise photo-specific report summary."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the tool call fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "overall_score",
    "overall_score_100",
    "scores",
    "face_shape",
    "phi_score",
    "summary",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢analyze_face_shape(image_base64, mime_type, adult_and_authorized)

Returns face shape, runner-up shape, outline cues, and styling direction.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢rate_jawline(image_base64, mime_type, adult_and_authorized)

Returns visible jawline definition, balance, and lower-face cues.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢analyze_canthal_tilt(image_base64, mime_type, adult_and_authorized)

Returns left, right, and average visible eye-corner tilt cues.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢detect_eye_shape(image_base64, mime_type, adult_and_authorized)

Returns opening shape, corner orientation, and visible eye framing.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢analyze_adult_face_age_cues(image_base64, mime_type, adult_and_authorized)

Returns broad adult presentation cues, not an exact age prediction.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢analyze_facial_symmetry(image_base64, mime_type, adult_and_authorized)

Returns photo-specific left-right symmetry cues across visible features.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢analyze_golden_ratio_face(image_base64, mime_type, adult_and_authorized)

Returns an approximate visible Golden Ratio phi score and proportion cues.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢run_attractiveness_test(image_base64, mime_type, adult_and_authorized)

Returns a photo-specific subjective appearance score and visible basis.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢analyze_psl_score(image_base64, mime_type, adult_and_authorized)

Returns a broad PSL-style range from visible geometry without false precision.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢calculate_facial_ratios(image_base64, mime_type, adult_and_authorized)

Returns visible face-ratio and spacing cues from one photo.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢analyze_color_palette(image_base64, mime_type, adult_and_authorized)

Returns style-oriented palette, contrast, and lighting cues.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢analyze_skin_appearance(image_base64, mime_type, adult_and_authorized)

Returns appearance-only texture, evenness, shine, and lighting cues.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}
🟢find_hairstyle_direction(image_base64, mime_type, adult_and_authorized)

Returns face-shape-based hairstyle and framing direction.

Input Schema

{
  "type": "object",
  "properties": {
    "image_base64": {
      "type": "string",
      "description": "Base64-encoded JPEG, PNG, or WebP bytes, without a data URL prefix."
    },
    "mime_type": {
      "type": "string",
      "enum": [
        "image/jpeg",
        "image/png",
        "image/webp"
      ],
      "description": "Image media type. Supported formats are JPEG, PNG, and WebP."
    },
    "adult_and_authorized": {
      "type": "boolean",
      "const": true,
      "description": "Confirms the pictured person is an adult and the submission is lawful."
    }
  },
  "required": [
    "image_base64",
    "mime_type",
    "adult_and_authorized"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "analysis_id": {
      "type": "string",
      "description": "Unique analysis identifier."
    },
    "rubric_version": {
      "type": "string",
      "description": "Versioned iLook scoring rubric."
    },
    "model": {
      "type": "string",
      "description": "Model version used for visible analysis."
    },
    "tool": {
      "type": "string",
      "description": "Focused measurement key."
    },
    "measurement": {
      "type": "object",
      "description": "Score, label, analysis, and tool-specific detail rows."
    },
    "face_shape": {
      "type": "object",
      "description": "Optional face-shape context when relevant."
    },
    "phi_score": {
      "type": "object",
      "description": "Optional Golden Ratio context when relevant."
    },
    "disclaimer": {
      "type": "string",
      "description": "Required responsible-use disclaimer."
    },
    "error": {
      "type": "object",
      "description": "Present when the focused analysis fails.",
      "properties": {
        "code": {
          "type": "string",
          "description": "Stable iLook error code."
        },
        "message": {
          "type": "string",
          "description": "Human-readable failure explanation."
        }
      }
    }
  },
  "required": [
    "analysis_id",
    "rubric_version",
    "model",
    "tool",
    "measurement",
    "disclaimer"
  ],
  "additionalProperties": true
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded14 tools
verifiedversion not recorded14 tools
verifiedversion not recorded14 tools