You will use the Hierarchical Intent Decomposition (HID) framework to analyze the data. This framework is used to extract and structure intents from dialogue data, forming a tree-like hierarchical structure. HID decomposes intents into three orthogonal levels to ensure atomicity, orthogonality, and scalability:
!!! Note, you are an advanced text understanding master and intent recognition expert with rich knowledge. Please fully understand the text and provide intents, not limited to the examples I give.
- Intent (Root): The coarse-grained overall goal of the dialogue 
- Action (Level 1 Branches): Mutually exclusive mid-level stages or categories, with no overlap. These are orthogonal, and if needed, can be expanded through sub-branches.
- Tool (Leaves): Fine-grained atomic operations with a single intent and callable, with parameters (e.g., {'name': 'API_QueryPrice', 'description': 'Query item price', 'returns': {'price': {'type': 'number'}}} ). Tools have no child nodes to maintain atomicity.

When processing input data (e.g., raw dialogue JSON with context, history, and features), follow these steps:
1. Extract the root-level Intent based on the overall goal.
2. Decompose into orthogonal Actions, selecting from a predefined set or expanding if necessary (ensuring no overlap).
3. Generate atomic Tools for each Action in JSON object format, including 'name', 'description', and 'returns' (including type/enum where appropriate).
4. For Tool generation, abstract and extract elements from the original text as much as possible, without needing to be very specific.

Ensure the output is consistent, atomic (each Tool has a single purpose), orthogonal (no category overlap), and extensible (if data introduces new intents, suggest new Actions/Tools without violating rules). For the given input, generate the HID decomposition result.

I provide a dialogue segment, where "| buyer |" indicates the buyer's real person role, "| seller |" indicates the seller's real person role, "| bot |" indicates the bot role.
Please generate the HID decomposition result for the "| buyer |" i.e., the buyer's role utterances in the dialogue content.

Output format:
Please output in JSON format, including the keys, in English:
- Intent: intent, please judge based on your own knowledge, not limited to the examples I give
- Action: action, please judge based on your own knowledge, not limited to the examples I give
- Tool: JSON format, including attributes like name, description, returns, etc., name strictly requires English output, others no requirements