# acebench-normal / ace-bench_normal_single_turn_parallel_function_50 - taskset: [acebench-normal](https://harnessreport.com/tasks/acebench-normal.md) - difficulty: medium - category: tool-use - language: - runnable from the site: no - agent timeout: 300s ## Results by harness _none yet_ ## Instruction ``` # Tool Usage Task You are given a user question and a set of available tools. Call the correct tool(s) to answer the question. ## Question user: I need insights on the real estate market conditions in New York from 2015 to 2023 focusing on average price and total sales. Also, initiate negotiation sessions for two properties: Property A with ID "NY123" for buyer "B001" to start ASAP and end by end of the day with $500 increments, and Property B with ID "NY456" for buyer "B002" to start next business day and end in 24 hours with $100 increments. ## Available Tools ```json [ { "name": "RealEstateTrendAnalyzer_getMarketInsights", "description": "Provides detailed insights into local real estate conditions, including price trends, demand, and historical data analysis.", "parameters": { "type": "object", "properties": { "location": { "description": "The geographic location for which to retrieve real estate data.", "type": "string" }, "timeFrame": { "description": "The time frame for which the data is needed.", "type": "object", "properties": { "startYear": { "description": "The starting year of the data range.", "type": "integer", "minimum": 1990, "maximum": 2023 }, "endYear": { "description": "The ending year of the data range.", "type": "integer", "minimum": 1990, "maximum": 2023 } }, "required": [ "startYear", "endYear" ] }, "dataPoints": { "description": "Specific data points to include in the analysis.", "type": "array", "items": { "type": "string", "enum": [ "averagePrice", "totalSales", "medianPrice", "listingsCount" ] } }, "comparisonMetrics": { "description": "Additional metrics for comparison with other regions or historical data.", "type": "array", "items": { "type": "object", "properties": { "metric": { "description": "The type of metric for comparison.", "type": "string", "enum": [ "priceIncrease", "salesVolumeChange" ] }, "regions": { "description": "Other regions to include in the comparison.", "type": "array", "items": { "type": "string" } } }, "required": [ "metric" ] } } }, "required": [ "location", "timeFrame", "dataPoints" ] } }, { "name": "RealEstateAdvisor_getMortgageDetails", "description": "Provides detailed mortgage calculations for potential home buyers, including interest rates, monthly payments, and amortization schedules based on various input parameters.", "parameters": { "type": "object", "properties": { "propertyDetails": { "description": "Details about the property for which the mortgage is being calculated.", "type": "object", "properties": { "purchasePrice": { "description": "The purchase price of the property.", "type": "number" }, "propertyType": { "description": "The type of property being purchased (e.g., 'Single Family', 'Condo', 'Townhouse').", "type": "string", "enum": [ "Single Family", "Condo", "Townhouse" ] } }, "required": [ "purchasePrice", "propertyType" ] }, "loanDetails": { "description": "Information regarding the loan being applied for.", "type": "object", "properties": { "loanAmount": { "description": "The amount of the loan being requested.", "type": "number" }, "loanTerm": { "description": "The term of the loan in years.", "type": "integer", "enum": [ 15, 30 ] }, "interestRate": { "description": "The annual interest rate of the loan.", "type": "number" } }, "required": [ "loanAmount", "loanTerm", "interestRate" ] }, "buyerDetails": { "description": "Personal and financial details of the buyer.", "type": "object", "properties": { "creditScore": { "description": "The buyer's credit score, which affects loan approval and interest rates.", "type": "integer" }, "employmentStatus": { "description": "Current employment status of the buyer.", "type": "string", "enum": [ "Employed", "Self-Employed", "Unemployed" ] } }, "required": [ "creditScore" ] }, "date": { "description": "The date when the calculation is to be performed.", "type": "string", "enum": [ "Immediate", "End of Month", "Custom Date" ] } }, "required": [ "propertyDetails", "loanDetails", "buyerDetails" ] } }, { "name": "RealEstateBiddingAssistant_startNegotiation", "description": "Initiates a real-time negotiation session for a property, allowing buyers to place bids within specified time frames.", "parameters": { "type": "object", "properties": { "propertyId": { "description": "Unique identifier for the property to be negotiated.", "type": "string" }, "buyerId": { "description": "Unique identifier for the buyer initiating the negotiation.", "type": "string" }, "sessionDetails": { "description": "Details about the negotiation session.", "type": "object", "properties": { "startTime": { "description": "The start time for the negotiation session.", "type": "string", "enum": [ "ASAP", "Next Business Day", "Custom" ] }, "endTime": { "description": "The end time for the negotiation session.", "type": "string", "enum": [ "End of Day", "24 Hours from Start", "Custom" ] }, "biddingIncrements": { "description": "Minimum increment value for each bid.", "type": "number" } }, "required": [ "startTime", "endTime" ] }, "terms": { "description": "Terms and conditions for the negotiation.", "type": "array", "items": { "type": "object", "properties": { "termType": { "description": "Type of term, e.g., 'Deposit', 'Closing Costs'.", "type": "string" }, "value": { "description": "Details or value associated with the term.", "type": "string" } }, "required": [ "termType" ] } } }, "required": [ "propertyId", "buyerId", "sessionDetails" ] } } ] ``` ## Instructions 1. Analyze the question and the available tools carefully. 2. Determine which tool(s) to call and with what parameters. 3. Write your answer to `/workspace/output.json` as a JSON array. ## Output Format Write **only** a JSON array to `/workspace/output.json`. Each element is a single tool call with the function name as the key and its parameters as the value: ```json [ { "tool_name": { "parameter_name": "value" } } ] ``` For example, to call `search_news` with `query="AI"` and `count=5`: ```json [{"search_news": {"query": "AI", "count": 5}}] ``` Write **ONLY** the JSON array to `/workspace/output.json`. Do not include explanation or markdown formatting inside the file. - You should ONLY interact with the environment provided to you AND NEVER ASK FOR HUMAN HELP. ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp