What the data for this category looks like
The data for crop farming financing daily reports primarily comes from publicly monitored data released by provincial agricultural and rural affairs departments, daily transaction ledgers submitted by planting cooperatives, and real-time transaction records from bulk agricultural product wholesale markets. Data is updated on a natural day basis, with aggregation and organization of the previous day’s data completed each early morning. Individual daily report documents are categorized by core crop types such as wheat, rice, and corn. Core fields include crop name, main producing area purchase price, regional wholesale average price, and daily transaction volume. The unit for price is yuan per kilogram, and the unit for transaction volume is tons. No additional statistical fields are included.
What constraints these characteristics impose on tool calling and plugins
The data sources for crop farming financing daily reports are scattered. This requires that tool calling must be configured with a multi-source aggregation plugin, which connects to the public API of agricultural and rural affairs departments, the wholesale market transaction interface, and the cooperative ledger upload interface respectively. The daily natural day update rhythm requires that plugin scheduled tasks be set to trigger at a fixed time each day, to avoid frequent calls that exceed interface limits. The classification structure for core crop types requires that tool calling parameters support filtering by crop type, to reduce invalid data returns. The fixed nature of field units requires that plugins include built-in unit verification logic, which automatically matches preset units such as yuan per kilogram and tons, to avoid call failures caused by incorrect parameter formats.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_trigger_cron | 0 0 2 * * * | Crop farming financing daily reports are compiled each early morning, triggering at this time allows access to the latest complete data |
plugin_multi_source_enable | Enabled | Data comes from multiple scattered sources, aggregation is required to return compliant daily report content |
plugin_request_timeout | 300 seconds | Multi-source calls require waiting for responses from multiple interfaces; 300 seconds covers the duration of most normal requests |
tool_filter_categories | wheat,rice,corn,soybean | Daily reports are categorized by core crop types; filtering reduces the volume of invalid data returned |
plugin_unit_check_enable | Enabled | Daily report fields have fixed units; verification avoids call failures caused by incorrect parameter formats |
The parameter values provided on this page are common recommended 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 mistakes
- Symptom: Empty fields are returned after calling the crop farming data source plugin. Cause: The
tool_filter_categoriesparameter is not configured, and the plugin returns full-category data that exceeds the system processing limit, which is automatically truncated to empty. - Symptom: Code execution plugin fails to run, with a prompt indicating a missing specified data analysis library. Cause: Third-party libraries required for crop farming financing daily report analysis such as pandas are not added to the dependency configuration of the code execution plugin.
- Symptom: Category filtering parameters cannot be passed during MCP calls. Cause: The parameter passthrough function is not enabled in the MCP plugin configuration, causing the category filtering parameters passed from the front end to not be correctly transmitted to the data source interface.
How to confirm configurations are set correctly
- Manually trigger a plugin call, and check if the returned data fields include preset core fields such as crop name, purchase price, and transaction volume.
- View the plugin running logs, confirm that the scheduled task triggers normally at the time configured in
plugin_trigger_cron, with no timeout errors. - Pass in specified category parameters, and check if the plugin only returns financing daily report data for the corresponding categories.
- View the dependency loading logs of the code execution plugin, confirm that the configured third-party libraries have been successfully loaded.
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.