# ace-bench / ace-bench_normal_multi_turn_user_switch_36_0 - taskset: [ace-bench](https://harnessreport.com/tasks/ace-bench.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 want to set up an alert system for monitoring the process flow of order processing. Can you help me with this? system: Can you please provide the process ID of the order processing and the alert rules you would like to set up? user: Sure, the process ID is "order-process-123". I need alerts based on response time exceeding 200ms as a warning and error rate exceeding 5% as critical. ## Available Tools ```json [ { "name": "monitoring_setupAlerts", "description": "Configure alert systems for monitoring anomalies in process flows.", "parameters": { "type": "object", "properties": { "processId": { "type": "string", "description": "Unique identifier for the process to monitor." }, "alertRules": { "type": "array", "description": "List of rules to trigger alerts.", "items": { "type": "object", "properties": { "metric": { "type": "string", "description": "The metric to monitor (e.g., 'response_time', 'error_rate')." }, "threshold": { "type": "number", "description": "The value above which an alert should be triggered." }, "alertLevel": { "type": "string", "enum": [ "info", "warning", "critical" ], "description": "Severity level of the alert." } }, "required": [ "metric", "threshold", "alertLevel" ] } } }, "required": [ "processId", "alertRules" ] } }, { "name": "DataSecurityManager_encryptData", "description": "Encrypts provided data using specified encryption algorithm and key. Returns the encrypted data and the used encryption standard.", "parameters": { "type": "object", "properties": { "data": { "description": "The data to be encrypted, as a string.", "type": "string" }, "encryptionDetails": { "type": "object", "properties": { "algorithm": { "description": "The encryption algorithm to use.", "type": "string", "enum": [ "AES", "RSA", "Blowfish" ] }, "key": { "description": "The encryption key as a base64 encoded string.", "type": "string", "pattern": "^[A-Za-z0-9+/=]{16,}$" } }, "required": [ "algorithm", "key" ] } }, "required": [ "data", "encryptionDetails" ] } }, { "name": "CollaborativeDocumentEditor_initializeSession", "description": "Initializes a new editing session for real-time document collaboration, setting up the necessary environment and permissions.", "parameters": { "type": "object", "properties": { "documentId": { "description": "Unique identifier for the document to be edited. Must be a valid string.", "type": "string", "pattern": "^[a-zA-Z0-9-]+$" }, "participants": { "description": "List of participants' email addresses allowed in the editing session.", "type": "array", "items": { "type": "string", "pattern": "^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\\.[a-zA-Z0-9-.]+$" } }, "documentFormats": { "description": "List of allowed document formats for this session.", "type": "array", "items": { "type": "string", "enum": [ "doc", "pdf", "ppt" ] } } }, "required": [ "documentId", "participants", "documentFormats" ] } } ] ``` ## 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