# acebench-normal / ace-bench_normal_multi_turn_user_switch_15_0 - 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 to schedule a project kickoff meeting for July 10th, from 10:00 AM to 12:00 PM UTC. system: Could you please provide a title and a brief description for the project kickoff meeting? user: The title should be "Project Kickoff Meeting" and the description is "Initial discussion and planning for the new project." ## Available Tools ```json [ { "name": "perform_qualitative_risk_assessment", "description": "Perform a qualitative risk assessment by analyzing various scenarios and incorporating expert judgments to evaluate potential risks.", "parameters": { "type": "object", "properties": { "scenarios": { "type": "array", "description": "List of scenarios to be analyzed, each with specific details and potential outcomes.", "items": { "type": "object", "properties": { "scenario_id": { "type": "string", "description": "Unique identifier for the scenario.", "pattern": "^[A-Za-z0-9\\-]+$" }, "description": { "type": "string", "description": "Detailed description of the scenario and its context." }, "outcomes": { "type": "array", "description": "Possible outcomes of the scenario with associated risks.", "items": { "type": "object", "properties": { "outcome": { "type": "string", "description": "Description of the potential outcome." }, "risk_level": { "type": "string", "description": "Assessed risk level of this outcome.", "enum": [ "Low", "Medium", "High" ] } }, "required": [ "outcome", "risk_level" ] } } }, "required": [ "scenario_id", "description", "outcomes" ] } }, "expert_judgments": { "type": "array", "description": "Expert judgments on the scenarios to provide insights and risk evaluations.", "items": { "type": "object", "properties": { "expert_id": { "type": "string", "description": "Identifier for the expert providing the judgment.", "pattern": "^[A-Za-z0-9\\-]+$" }, "judgment": { "type": "string", "description": "Expert's judgment on the scenario's risk level." } }, "required": [ "expert_id", "judgment" ] } } }, "required": [ "scenarios", "expert_judgments" ] } }, { "name": "ProjectScheduler_createEvent", "description": "Creates a new event in the project calendar with specified details and recurrence options, and can sync with other project management tools.", "parameters": { "type": "object", "properties": { "eventDetails": { "type": "object", "properties": { "title": { "type": "string", "description": "The title of the event." }, "description": { "type": "string", "description": "Detailed description of the event." }, "startTime": { "type": "string", "description": "Start time of the event in ISO 8601 format.", "pattern": "^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$" }, "endTime": { "type": "string", "description": "End time of the event in ISO 8601 format.", "pattern": "^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$" } }, "required": [ "title", "startTime", "endTime" ] }, "recurrence": { "type": "object", "properties": { "frequency": { "type": "string", "enum": [ "Daily", "Weekly", "Monthly", "Yearly" ], "description": "Frequency of the event recurrence." }, "count": { "type": "integer", "description": "Number of occurrences of the event." }, "endRepeat": { "type": "string", "description": "End date of the recurrence in ISO 8601 format.", "pattern": "^\\d{4}-\\d{2}-\\d{2}$" } }, "required": [ "frequency" ] } }, "required": [ "eventDetails" ] } }, { "name": "EmotionHRAnalysis_performEmotionAndHRIntegration", "description": "Analyzes both facial expressions from images or live video feeds and voice tones from audio inputs to assess emotional states and provide comprehensive human resource insights.", "parameters": { "type": "object", "properties": { "facialData": { "description": "Data input for facial analysis, can be a live video feed or a batch of stored images.", "type": "object", "properties": { "sourceType": { "description": "Type of facial data source, either 'live' for real-time video or 'batch' for stored images.", "type": "string", "enum": [ "live", "batch" ] }, "data": { "description": "The actual data content, URL for live feed or list of image URLs for batch processing.", "type": "string", "pattern": "^https?://.*" } }, "required": [ "sourceType", "data" ] }, "voiceData": { "description": "Audio input for voice tone analysis to determine emotional states.", "type": "object", "properties": { "audioSource": { "description": "URL of the audio file for emotion analysis through voice tone.", "type": "string", "pattern": "^https?://.*" }, "analysisFeatures": { "description": "List of features to apply during voice analysis.", "type": "array", "items": { "type": "string", "enum": [ "frequency analysis", "emotion correlation" ] } } }, "required": [ "audioSource", "analysisFeatures" ] } }, "required": [ "facialData", "voiceData" ] } } ] ``` ## 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