Guitar Practice Routine App — Chord Charts

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "context",
    "id",
    "llm_model"
  ],
  "properties": {
    "id": {
      "type": "integer",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991,
      "description": "Numeric chord id."
    },
    "format": {
      "enum": [
        "both",
        "image",
        "text"
      ],
      "type": "string",
      "description": "Which representations to return. Defaults to \"text\", which includes a direct URL to a PNG of the chart — embed that where your surface renders images. Use \"image\" or \"both\" only if you need the PNG bytes inline; they cost image tokens and many clients bury them."
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "context",
    "llm_model",
    "name"
  ],
  "properties": {
    "name": {
      "type": "string",
      "maxLength": 64,
      "description": "A single chord name as written on a chart, e.g. \"Am7\" or \"D/F#\"."
    },
    "format": {
      "enum": [
        "both",
        "image",
        "text"
      ],
      "type": "string",
      "description": "Which representations to return. Defaults to \"text\", which includes a direct URL to a PNG of the chart — embed that where your surface renders images. Use \"image\" or \"both\" only if you need the PNG bytes inline; they cost image tokens and many clients bury them."
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "context",
    "llm_model"
  ],
  "properties": {
    "format": {
      "enum": [
        "both",
        "image",
        "text"
      ],
      "type": "string",
      "description": "Which representations to return. Defaults to \"text\", which includes a direct URL to a PNG of the chart — embed that where your surface renders images. Use \"image\" or \"both\" only if you need the PNG bytes inline; they cost image tokens and many clients bury them."
    },
    "context": {
      "type": "string",
      "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    },
    "llm_model": {
      "type": "string",
      "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess."
    }
  }
}