AI Recommendation Readiness Audit | The Black Friday Agency
Can AI confidently recommend your business? The AI Recommendation Readiness Audit shows whether your
使うべきか
品質と安全性
A
検出事項（1）
- LOWTool 'assess_ai_recommendation_readiness' name length outside 3-30 rangeassess_ai_recommendation_readiness 内
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
~1,344トークン数（ツール定義）
~7.9 KB一般的なレスポンスサイズ
注意への影響は中程度（128k コンテキストの 1.05%）
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"canairecommendmybusiness-com": {
"url": "https://canairecommendmybusiness.com/api/mcp"
}
}
}リモートエンドポイント
https://canairecommendmybusiness.com/api/mcpstreamable-httpできること
ツール一覧
ツール（2）
🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢assess_ai_recommendation_readiness(businessSize, dataMaturity, technicalStack, goals, businessName, ...)
Assesses whether a business is ready to be understood, verified, trusted, recommended, and used by AI systems, based on structured inputs (business size, data availability/maturity, technical stack/infrastructure, and goals). Returns a readiness score, tier, gap analysis, priority actions, and a phased implementation roadmap. Deterministic and read-only: it performs no consequential actions and does not guarantee any ranking or recommendation.
入力スキーマ
{
"type": "object",
"properties": {
"businessSize": {
"type": "string",
"enum": [
"solo",
"micro",
"small",
"midmarket",
"enterprise"
],
"description": "Size of the business/organization."
},
"dataMaturity": {
"type": "string",
"enum": [
"none",
"basic",
"developing",
"structured",
"advanced"
],
"description": "Availability and maturity of the structured/machine-readable data of the business."
},
"technicalStack": {
"type": "string",
"enum": [
"minimal",
"standard",
"modern",
"advanced"
],
"description": "Technical stack / infrastructure sophistication."
},
"goals": {
"type": "array",
"items": {
"type": "string",
"enum": [
"ai_visibility",
"lead_generation",
"trust_authority",
"content_coverage",
"conversion_optimization",
"structured_data",
"agent_readiness",
"reputation_management"
]
},
"minItems": 1,
"maxItems": 8,
"uniqueItems": true,
"default": [
"ai_visibility"
],
"description": "One or more readiness goals the business wants to prioritize (1–8, unique values from the enum)."
},
"businessName": {
"type": "string",
"description": "Optional, non-sensitive business name for context."
},
"industry": {
"type": "string",
"description": "Optional industry/category for context."
}
},
"required": [
"businessSize",
"dataMaturity",
"technicalStack"
]
}出力スキーマ
{
"type": "object",
"properties": {
"tool": {
"type": "string",
"description": "Canonical tool identifier."
},
"engineVersion": {
"type": "string",
"description": "Version of the deterministic scoring engine."
},
"readinessScore": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "Overall AI recommendation readiness score (0–100)."
},
"tier": {
"type": "object",
"properties": {
"level": {
"type": "integer",
"minimum": 1,
"maximum": 4,
"description": "Tier level (1–4)."
},
"name": {
"type": "string",
"enum": [
"Foundational",
"Developing",
"Established",
"Optimized"
],
"description": "Readiness tier name."
},
"summary": {
"type": "string",
"description": "Plain-language summary of the tier."
}
},
"required": [
"level",
"name",
"summary"
],
"additionalProperties": false
},
"dimensionScores": {
"type": "array",
"description": "Per-dimension breakdown of the overall score.",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "Dimension identifier."
},
"label": {
"type": "string",
"description": "Human-readable dimension name."
},
"score": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "Dimension score (0–100)."
},
"weight": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "Weight of this dimension in the overall score."
}
},
"required": [
"key",
"label",
"score",
"weight"
],
"additionalProperties": true
}
},
"gapAnalysis": {
"type": "array",
"description": "Identified gaps between current and target readiness.",
"items": {
"type": "object",
"properties": {
"area": {
"type": "string",
"description": "Gap area / dimension."
},
"severity": {
"type": "string",
"enum": [
"low",
"moderate",
"high",
"critical"
],
"description": "Severity of the gap."
},
"description": {
"type": "string",
"description": "Explanation of the gap."
}
},
"required": [
"area",
"severity",
"description"
],
"additionalProperties": true
}
},
"priorityActions": {
"type": "array",
"description": "Prioritized recommended actions.",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "Short action title."
},
"detail": {
"type": "string",
"description": "Action detail / rationale."
},
"effort": {
"type": "string",
"enum": [
"low",
"medium",
"high"
],
"description": "Estimated effort."
},
"impact": {
"type": "string",
"enum": [
"low",
"medium",
"high"
],
"description": "Estimated impact."
}
},
"required": [
"title"
],
"additionalProperties": true
}
},
"implementationRoadmap": {
"type": "array",
"description": "Phased implementation roadmap.",
"items": {
"type": "object",
"properties": {
"phase": {
"type": "string",
"description": "Phase name."
},
"focus": {
"type": "string",
"description": "Primary focus of the phase."
},
"actions": {
"type": "array",
"items": {
"type": "string"
},
"description": "Actions within the phase."
}
},
"required": [
"phase"
],
"additionalProperties": true
}
},
"normalizedInputs": {
"type": "object",
"description": "The normalized inputs actually used for scoring.",
"properties": {
"businessSize": {
"type": "string"
},
"dataMaturity": {
"type": "string"
},
"technicalStack": {
"type": "string"
},
"goals": {
"type": "array",
"items": {
"type": "string"
}
}
},
"additionalProperties": true
},
"disclaimer": {
"type": "string",
"description": "Educational-use disclaimer."
}
},
"required": [
"readinessScore",
"tier",
"dimensionScores",
"gapAnalysis",
"priorityActions",
"normalizedInputs",
"disclaimer"
],
"additionalProperties": true
}🟢get_ai_readiness_framework
Returns the AI Recommendation Readiness scoring framework: the scored dimensions and their weights, the four readiness tiers with score ranges, and every valid input option (business sizes, data maturity levels, technical stacks, and goals). Read-only and deterministic; use it to understand how the assessment is scored and to build valid inputs for assess_ai_recommendation_readiness.
入力スキーマ
{
"type": "object",
"properties": {},
"additionalProperties": false
}出力スキーマ
{
"type": "object",
"properties": {
"engineVersion": {
"type": "string"
},
"dimensions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"label": {
"type": "string"
},
"weight": {
"type": "number",
"minimum": 0,
"maximum": 1
}
},
"required": [
"key",
"label",
"weight"
],
"additionalProperties": false
}
},
"tiers": {
"type": "array",
"items": {
"type": "object",
"properties": {
"level": {
"type": "integer",
"minimum": 1,
"maximum": 4
},
"name": {
"type": "string"
},
"scoreRange": {
"type": "string"
}
},
"required": [
"level",
"name",
"scoreRange"
],
"additionalProperties": false
}
},
"inputOptions": {
"type": "object",
"properties": {
"businessSize": {
"type": "array",
"items": {
"type": "string"
}
},
"dataMaturity": {
"type": "array",
"items": {
"type": "string"
}
},
"technicalStack": {
"type": "array",
"items": {
"type": "string"
}
},
"goals": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"businessSize",
"dataMaturity",
"technicalStack",
"goals"
],
"additionalProperties": false
},
"disclaimer": {
"type": "string"
}
},
"required": [
"engineVersion",
"dimensions",
"tiers",
"inputOptions",
"disclaimer"
],
"additionalProperties": false
}コミュニティ
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検証済みバージョンは記録されていませんツール 2 件
検証済みバージョンは記録されていませんツール 2 件