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openl-tablets

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Start Rule Trace

openl_start_trace

Start an asynchronous trace execution for a business rule table by providing parameters or test ranges. Use with openl_get_trace_nodes to retrieve results after completion.

Instructions

Start trace execution for a table. Trace is asynchronous (returns 202 Accepted). For regular rules: provide inputJson with { params: {...}, runtimeContext?: {...} }. For test tables: use testRanges (e.g. '1-3,5'). After starting, call openl_get_trace_nodes once — while the trace is still running it subscribes to the studio's trace-status websocket and waits for completion server-side (no manual polling/retrying on 409 needed).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableIdYesTable ID to trace (e.g., 'calculatePremium_1234'). Get from openl_list_tables().
inputJsonNoFor regular rules: JSON input. Use object with params (required) and runtimeContext (optional). E.g. { params: { age: 25 }, runtimeContext: { lob: 'Auto' } }.
projectIdYesProject ID returned by backend. Use the exact 'projectId' value from openl_list_projects() response without modification or reformatting.
fromModuleNoModule name for opened module execution. Usually omit.
testRangesNoFor test tables: comma-separated ranges (e.g., '1-3,5'). Omit for regular rule/table execution.
response_formatNoResponse format: 'json' for structured data, 'markdown' for human-readable (default), 'markdown_concise' for brief summary (1-2 paragraphs), 'markdown_detailed' for full details with contextmarkdown
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses async nature (202 Accepted) and websocket subscription for completion, including no manual polling needed. Adds value beyond openWorldHint annotation by detailing the workflow.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three concise sentences, front-loaded with purpose, no wasted text. Efficiently covers asynchronous behavior and usage variants.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequate for a start-trace tool: explains async, post-call, and variants. Lacks error handling details but sufficient given no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, baseline 3. Description adds context about when to use inputJson vs testRanges, but schema already includes similar descriptions. Adds moderate value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Start trace execution for a table' with specific verb and resource. It distinguishes between regular rules and test tables, providing different input methods. Implicit differentiation from siblings like openl_cancel_trace, but not explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance: for regular rules use inputJson with params, for test tables use testRanges. Also states post-action: call openl_get_trace_nodes once. Does not mention alternatives or when-not-to-use, but clear context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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