What the data for this category looks like
Data sources include public trading data from Dalian Commodity Exchange, China Iron Ore Spot Trading Platform, and industry information institutions. Updates take place within 1 hour after market close on each trading day. Updates are delayed to the next trading day on non-trading days. The data is formatted as structured tables, with fields including trading date, ore type (such as Brazilian fines, Australian lump ore), origin, iron grade indicator, spot transaction price, financing balance, port inventory quantity, and others. Unit details: spot transaction price is in yuan per ton, port inventory quantity is in ten thousand tons, and financing balance is in hundred million yuan.
What constraints these characteristics impose on tool calling and plugin configuration
The multiple data sources, daily update schedule, and multi-dimensional field structure of iron ore financing daily reports create multiple constraints for tool calling and plugin configuration. Differences across multiple data sources require plugins to configure data source priority. Prioritize official interfaces with higher authority to avoid data deviation. The daily update schedule requires scheduled trigger tasks to align with domestic futures trading day cycles. This prevents pulling outdated, unupdated data on non-trading days. The multi-ore type and multi-indicator field structure requires tool calling to support filtering by dimensions such as ore type, origin, and iron grade. Without this, returned results will mix irrelevant data and increase conversation processing complexity. The structured table format requires tool calling to specify a whitelist of returned fields, reducing redundant data transmission.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
TOOL_API_TIMEOUT | 600 seconds | Data source interfaces for iron ore financing daily reports typically return data within 1 hour after market close. Setting 600 seconds covers the full interface response cycle |
MAX_SELECTED_ENTRIES | Top 10 entries | A single financing daily report includes data for multiple ore types. Limiting returns to the top 10 entries avoids result overload and adapts to the information density of conversation scenarios |
DATA_SOURCE_PRIORITY | Dalian Commodity Exchange > China Iron Ore Spot Trading Platform | Dalian Commodity Exchange data has higher authority. Prioritizing this configuration ensures the credibility of returned results |
FIELD_MAPPING | Map according to "trading date", "ore type", "transaction price", "port inventory" | Core fields of iron ore financing daily reports are strongly bound to business requirements. Precise mapping avoids field misalignment |
CRON_EXPRESSION | 0 19 * * 1-5 | Matches the market close time (around 17:00) of domestic futures trading days, triggering data pulling at 19:00 daily |
RESPONSE_FIELD_WHITELIST | trading date, ore type, transaction price, inventory quantity | Only return fields required for business, reducing invalid data transmission and improving tool calling efficiency |
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 separate analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- A 400 status code with no response body is returned when calling database tools. The cause is incorrect configuration of database connection authentication parameters, or the request body format does not meet tool requirements.
- Tool calling results do not associate with the filter conditions of the conversation context. For example, data is not pulled according to the specified ore type. The cause is failure to bind the workflow's context variables to the parameter configuration of tool calling.
- Confusion between conversation model parameters and classification model parameters for tool calling causes the classification logic of tool calling to fail. The cause is mistakenly using the API's
modelparameter to specify the model for tool classification. This parameter is only used to configure the base model for conversation generation.
How to confirm the configuration is complete
- Manually trigger tool calling, check whether the returned results include the specified fields and filter conditions, and confirm that the data update time matches the current trading day.
- Check the workflow's running logs to confirm that the request parameters of tool calling are consistent with the configuration items, with no missing required fields.
- Simulate triggering tool calling on a non-trading day, check whether empty data or prompt information is returned, and confirm that the exception handling logic takes effect.
- Pass custom filter parameters to call the API, check whether the returned results only include qualifying ore type data, and confirm that the filter logic takes effect.
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.