
You are an expert in evaluating and guiding a web navigation agent. Your task is to help the agent effectively complete a given mission on a website based on the user’s intent. The agent’s goal is to navigate through the website to reach the desired state that aligns with the user’s objective.

You will analyze the next state of the webpage (OBSERVATION) after each action and determine whether the agent is successfully progressing towards the task goal. You will also assist the agent by choosing the next action if necessary, considering the dynamics of the web environment and how each state transitions.

Key Points:
1. Understand the intent:
- Identify the user’s goal (e.g., finding information, navigating to a specific page, modifying content).
- Make sure the next state of the webpage aligns with achieving that goal based on the current state and user’s intent.

2. Evaluate the Next State:
- When assessing the next state, consider how it contributes to reaching the intended goal. If the next state moves the agent closer to the user’s goal, it is evaluated positively.
- If the next state does not progress towards the goal or leads to an error, suggest alternative actions that will result in a more favorable next state.

3. State Guidance:
- If the next state shows that the agent is on the right track but hasn’t completed the task yet, recommend further actions that could bring the next state closer to the goal. Focus on guiding the agent to reach a state that reflects clear progress towards the goal.

4. Types of Tasks:
- Information Seeking: The next state must provide the specific information the user seeks (e.g., product price, reviews). If the information is unavailable, the next state should explicitly indicate that.
- Site Navigation: The next state must reflect that the agent has navigated to the exact page or item. Check if the state includes content based on the user’s intent.
- Content Modification: The next state should indicate that the requested content modification has been successfully committed (e.g., form submission, comment posting).
- General Task: Evaluate the entire process to ensure the next state reflects task completion. Stop actions should only be issued when the objective is met.

5. Common Pitfalls:
- Repetitive typing actions: Ensure that the next state does not show corrupted input due to repeated typing.
- Incomplete navigation: Ensure the agent’s next state reflects navigation to the specific item or content, not just to a general page or category.

Output Format with a Score Between 0 and 1:
Each next state will be evaluated with a score between 0 and 1, assessing how well the state moves towards the task’s completion. This score provides nuanced feedback on the state’s effectiveness.
0: The next state is a failure or leads away from the task.
Values closer to 0 (e.g., 0.1, 0.2): The next state does not contribute meaningfully but isn’t a total failure.
0.5: The next state is neutral, and the agent is maintaining its current position.
Values closer to 1 (e.g., 0.7, 0.8): The next state is helpful and moves the agent closer to the task goal.
1: The next state is optimal and is directly aligned with completing the task.

Response Format:
1. You should write your rationale providing a detailed analysis of the next state and reasoning for its score, providing a score between 0 and 1 based on how well the next state contributes to task completion.

Output Format: [Rationale] <your thought> [Score] <a value between 0 and 1>

OBJECTIVE: check reservation availability for an Indian restaurant with price below $30 in East village
PREVIOUS ACTION: ["click [125] where [125] is 'restaurants.'", "click [737] where [737] is 'Cuisine'", "click [2135] where [2135] is 'Indian/Pakistani'"]
CURRENT OBSERVATION:	[26400] textbox 'Search New York...' required: False
	[26410] textbox 'Search New York...' required: False
	[26412] button 'Search'
	[26568] textbox '' required: False
	[26569] textbox 'Search NYC...' required: False
	[26587] heading 'Dawat Haute Indian Cuisine'
	[26612] heading 'Cafe at RMA'
	[26635] heading 'Utsav Festive India'
	[26661] heading 'Jackson Diner'
	[26684] heading 'Awadh'
	[26711] heading 'aRoqa'
	[26737] heading 'Indian Taj Greenwich Village'
	[26761] heading 'Vatan'
	[26784] heading 'Taj II'
	[26808] heading 'Adda Indian Canteen'
	[26831] heading 'Babu Ji'
	[26855] heading '5-Star Banquet & Restaurant'
	[26878] heading 'Darbar'
	[26902] heading 'Yuva'
	[26925] heading 'Gastro Bar'
	[26949] heading 'The Kati Roll Company'
	[26972] heading 'Paowalla'
	[26996] heading 'Savoury'
	[27019] heading 'Benares Midtown'
	[27046] heading 'Rajbhog Sweets'
	[27074] heading 'Cuisine'
	[27086] heading 'Neighborhood'
	[27280] heading 'Price'
CURRENT ACTION: click [1174] where [1174] is 'east village (9)'
NEXT STATE PREIDCTION: 	[27867] textbox 'Search New York...' required: False
	[27877] textbox 'Search New York...' required: False
	[27879] button 'Search'
	[28035] textbox '' required: False
	[28036] textbox 'Search NYC...' required: False
	[28054] heading 'Raj Mahal'
	[28076] heading 'Mitali East'
	[28099] heading 'Haveli'
	[28122] heading 'Apna Masala'
	[28148] heading 'Panna II'
	[28172] heading 'Milon'
	[28196] heading 'Gandhi'
	[28220] heading 'Malai Marke'
	[28247] heading 'Heart Of India'
	[28272] heading 'Cuisine'
	[28284] heading 'Neighborhood'
	[28296] heading 'Price'
[Rationale] In the current state, the agent has successfully navigated to the East Village section of Indian restaurants, which is a critical step towards fulfilling the user's objective of checking reservation availability for an Indian restaurant in that specific neighborhood. The presence of restaurant headings such as 'Raj Mahal,' 'Mitali East,' and others indicates that the agent is now presented with relevant options to explore further. 

However, the next step is to refine the search to focus on restaurants that have a price point below $30, which is still pending. While the agent has made notable progress by filtering the results to a specific location, the task is not yet complete since the price filter has not been applied, and there is no immediate visibility on the price range of the listed restaurants. 

The score of 0.67 reflects this progress; the agent is indeed moving in the right direction by narrowing down the search to a pertinent area, but it still requires additional actions (like filtering by price) to fully achieve the user's goal. Therefore, recommending the next action of applying a price filter or selecting a restaurant to check its availability would be appropriate to further advance towards task completion. [Score] 0.67