What the Data for This Category Looks Like
The data for agrochemical product research reports is primarily sourced from three channels: public industry association reports, segmented research reports from securities brokerages, and General Administration of Customs import and export data. Update cycles vary: Broker research reports are updated monthly or quarterly alongside industry developments, industry association data is released quarterly, and enterprise operating data is disclosed annually. A single research report typically includes three core modules: supply and demand landscape, price trends, and policy impacts. Core quantitative fields include production capacity scale, market average price, and import and export volume, with corresponding units of ten thousand tons, yuan per ton, and ten thousand tons respectively. Some research reports include historical data comparison tables.
Constraints Imposed on Tool Calling and Plugins
The scattered sources of category data require tool calling to support multi-data source aggregation configuration, to avoid repeatedly calling different interfaces to obtain similar data. The update frequencies of different data sources vary significantly. Some core data such as market prices require high-frequency synchronization, so targeted update trigger rules must be set for corresponding tools. There is a potential issue of inconsistent units for quantitative fields, so unit conversion logic must be preset in the tool chain to avoid deviations in downstream analysis. Research reports contain a large amount of structured table data, so table field extraction rules must be configured for plugins, with priority given to adapting to capacity and price fields unique to the agrochemical category.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolDataSourceList | ["industry_association", "broker_research", "customs_data"] | Covers the three core data sources of agrochemical research reports, matching the data source characteristics of the category |
pluginUpdateInterval | 3600 seconds | Adapts to the high-frequency update requirements of agrochemical market prices, ensuring data timeliness |
fieldUnitMapping | Price: Yuan/ton, Capacity: Ten thousand tons, Stock: Ten thousand tons | Unifies the units of quantitative fields from different sources, eliminating unit deviations |
tableExtractThreshold | 0.85 | Identifies structured tables in research reports, prioritizing extraction of capacity and price fields unique to the agrochemical category |
pluginTimeout | 600 seconds | Adapts to the time consumption requirements of multi-source data aggregation, avoiding timeout during single tool calls |
maxContextWindow | 8000–12000 characters | Adapts to the relatively long text content of single agrochemical research reports, ensuring context completeness |
The parameter values provided on this page are common starting points for configuration. 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 settings.
Three Common Misconfigurations
- Symptom: The workflow returns a 500 status code when calling a tool, and logs show "database connection timeout". Cause: The database connection configuration for the tool plugin was not correctly mapped to the container network during deployment, causing the plugin to fail to access the preset agrochemical data database.
- Symptom: Field units returned after calling the tool are inconsistent, with some prices displayed in non-preset units. Cause: The
fieldUnitMappingconfiguration was not enabled, and quantitative field units from different data sources were not unified. - Symptom: The number of research report results returned by tool calls is insufficient to cover the full dataset for the category. Cause: Not all required data sources were configured in
toolDataSourceList, and industry association or customs data entry points were omitted.
How to Confirm Proper Configuration
- Access the tool plugin configuration page, verify that
toolDataSourceListincludes the three data sources required for the category. - Initiate a single tool call, check that the units of quantitative fields in the returned results match the preset rules.
- Review tool call logs to confirm there are no error messages related to connection timeouts or parameter format errors.
- Compare the volume of research report data returned by the tool with the disclosure volume from public data sources, confirming the coverage meets category requirements.
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.