What the data for this category looks like
Thermal coal financial report-related data primarily comes from periodic reports of publicly traded thermal coal enterprises and monthly monitoring data from national coal industry associations. Public company financial reports are updated quarterly, semi-annually, and annually. Industry monitoring data is updated monthly. The document structure typically includes four core modules: core operating indicators, cost breakdowns, supply and demand balance sheets, and price indices. Fields include thermal coal production, comprehensive selling price, railway shipment volume, port inventory, and others, with corresponding units of ten thousand tons, yuan per ton, ten thousand tons, and ten thousand tons.
What constraints these characteristics impose on tool calling and plugins
The multi-source and multi-update frequency characteristics of thermal coal data require that tool calling covers both public company financial report parsing and industry monitoring data query tools, and distinguishes trigger cycles for different data sources. Fixed field and unit rules require that tool calling automatically identifies and matches the exclusive unit system for thermal coal, avoiding unit errors caused by general cross-category parsing logic. The multi-module document structure requires that tool calling accurately locates core operating modules in financial reports, avoiding parsing redundancy or missing key data. In addition, thermal coal supply and demand data has a high correlation with policies, requiring additional calls to policy tools to assist analysis. This further increases the complexity of tool routing.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxToolCallTimes | 5–7 | Thermal coal financial report analysis requires calls to multiple types of tools including financial report parsing, industry data, and price indices. This value range covers necessary calls while avoiding redundant delays |
parse_field_unit_auto_match | Enabled | Thermal coal data includes specific units such as ten thousand tons and yuan per ton. Automatic matching reduces unit conversion errors |
tool_router_confidence_threshold | 0.78–0.82 | Thermal coal financial report fields have high recognizability. This interval can accurately trigger corresponding tools and avoid miscalls |
plugin_data_sync_cycle | 2592000 seconds and 7776000 seconds | Industry monitoring data is synchronized monthly, while public company financial reports are synchronized quarterly. Corresponding cycles must be configured separately |
tool_log_retention_days | 90 days | Sufficient duration of call logs must be retained to troubleshoot OneAPI class call failures, covering conventional troubleshooting cycles |
The parameter values provided on this page are common recommended starting points for determining configurations. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: Scheduled tool call tasks do not execute as expected, and interface calls time out. Cause: The update cycles of industry data and financial report data are not distinguished, and the synchronization cycle of monthly industry data is set to match quarterly financial reports, leading to scheduled task conflicts.
- Phenomenon: After calling a large model tool, the output results differ significantly from direct calls. Cause: The
tool_router_confidence_thresholdis not set appropriately, and the field characteristics of thermal coal data are not adapted, leading to deviations in tool call routing. - Phenomenon: Detailed failure logs for OneAPI calls to large models cannot be viewed, only general error messages are displayed. Cause: The detailed parameter capture function for tool call logs is not enabled, or
tool_log_retention_daysis set too short, and logs have been automatically cleaned up.
How to confirm the configuration is complete
- Initiate a simulated thermal coal financial report analysis request, and verify that the triggered tool list covers necessary links such as financial report parsing and industry data query.
- View tool call logs to confirm that field unit identification results conform to the standard specifications of thermal coal data.
- Check the configuration of scheduled trigger tasks to confirm that the synchronization intervals of different data sources match their actual update cycles.
- Trigger a simulated call failure scenario to confirm that detailed log content including call parameters and return status can be obtained.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.