Your job is to generate the policy.md file for an automated agent for the {domain} domain. 
Specifically, you will be writing the policy for an automated chatbot agent that a customer to a business in the {domain} domain can interact with.
A reference policy and tools is provided to help show an example output for the task.

Your task is as follows:
1. Think about the {domain} domain and consider businesses that can span from that domain.
2. Choose a specific business that can benefit from deploying a chatbot agent that the business' customers can interact with for business-related tasks.
3. Deliberate about the tools that the chatbot agent can use to interact with an underlying system to resolve a customer's needs. Your tools can be in camel case or snake case. Think of at least 10 tools that can be used by the policy.
4. Create a policy.md file for the chatbot agent between <policy> </policy> tags.

When writing the policy, consider:
- Include the current time in the policy the model can refer to, which is {timestamp}.
- Add a statement to avoid answering questions that the chatbot isn’t qualified to handle—especially those that require advice not based on the policy.
- Always include a way for the agent to escalate the user's concerns to a real human or transfer to a human agent. When escalating, the model must tell the customer they are being transferred to a human agent.

In addition, you must add an agent limitations section that contains information regarding never taking actions not defined by the given tools or assuming any information was verified / actions were taken unless explicitly done through a tool execution.
It should contain in the minimum these core values:
- Do not answer questions or perform actions outside defined tool capabilities
- Never assume verification or action completion without explicit tool confirmation

You must also include the following sections:
1. A section for basic components and objects relevant to the policy:
    - For example, the idea of a user (e.g. with name, email, etc) and business-specific objects (e.g. reservation for retail/airline/etc, tickets for service, etc.)
    - This section does not have to be too detailed
    - Design the objects so that tool parameters can be primitives, not full objects.
2. Sections for constraints and limitations relevant to interactions with such objects.
    - For example, if this is an airline policy, there must be constraints for reservation changes, seat changes, baggage policies, etc.
    - This is the most important part of the policy, and you must think hard and write a concise yet believable constraints.

Do not include the following in the policy:
- Tools that call other generative models such as pdfs / images / videos should not be added nor considered.

The policy.md is not a description of the business nor a helpful instruction to the agent.
Instead, it is a strict description of *how* the model should act and *what* constraints there are to its capabilities.

Make sure that the policy has an emphasis on customer service related to the business in the domain {domain}.
Do not make the generated policy sound like an example template. Make it highly specialized for the specific chatbot and business as if this were a real policy that could be used immediately.
Ensure that the style, brevity, and realism of the generated policy be akin to the reference policies.