What the data for this category looks like
Data sources for steel trade research reports include industry operation data released by steel industry associations, real-time quotes from bulk commodity spot trading platforms, production and sales announcements from steel mills, and in-depth analysis reports from third-party bulk commodity research institutions. Data update cycles cover daily, weekly, and monthly frequencies. Spot prices and circulation volume are updated daily. Inventory data is mostly updated weekly. Industry trend analysis reports are mostly released monthly. Document structures typically include market overviews, price and circulation data for specific varieties such as rebar, hot-rolled coil, import and export trade data, policy interpretations, and future market outlooks. Core fields include detailed trade-related indicators such as spot price (unit: yuan/ton), inventory (unit: 10,000 tons), and trading volume (unit: 10,000 tons/day).
What constraints these characteristics impose on tool calling and plugins
The multi-source data nature of steel trade research reports requires tool calling to interface with multiple data sources. It also requires handling differences in field formats returned by different platforms to avoid data parsing errors. Data with different update frequencies requires plugins to support scheduled pull configurations. This prevents repeated pulling of outdated data or missing the latest market trends. The large number of specific varieties and fixed field units requires tool calling parameters to strictly match preset field names and unit rules. This prevents returned data from mismatching business requirements. The long document structure requires plugins to support long text chunk parsing and context recall. This ensures that core information from research reports is fully extracted.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 120 seconds | Steel trade research reports involve multiple data source connections. Interface requests and data parsing take longer. Extending the timeout prevents interruptions |
max_tool_call_steps | 8 steps | Steel trade research report retrieval requires calling multiple tool nodes in sequence, such as price, inventory, and import and export. Sufficient call steps cover the complete retrieval process |
rag_recall_top_k | Top 10 entries | Steel research reports cover many specific varieties. Recalling a sufficient number of relevant fragments covers information needs for different trade scenarios |
plugin_auto_update_interval | Configured by data source type | Spot prices are updated daily, and inventory data is updated weekly. Matching automatic pull intervals must be set for different data sources |
parse_chunk_size | 800–1200 characters | Steel trade research report paragraphs are long and contain dense numerical fields. This chunk length balances parsing accuracy and context coherence |
tool_call_syntax_check | Enabled | Prevents Your model may not support tool_call SyntaxError errors triggered by model syntax format mistakes |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- A
Your model may not support tool_call SyntaxErrorerror occurs when calling tools. The cause is that thetool_call_syntax_checkconfiguration is not enabled, or the tool calling syntax format of the current model is not adapted. - After exporting a workflow and related JSON files and importing them into another environment, the plugin cannot be recognized. The cause is that the plugin's configuration file was not exported together with the workflow, and cross-environment plugin IDs were not updated synchronously.
- The unit of the result field returned by the tool call does not match requirements. For example, the unit is shown as yuan/kilogram instead of yuan/ton. The cause is that no field unit mapping rule was added in the plugin configuration, and the format consistency of returned data was not verified.
How to Confirm Configurations Are Correctly Set
- Initiate a simulated tool call, and check that the returned results include core fields of steel trade research reports, with units matching preset rules.
- View the plugin dependency list of the workflow, and confirm that all associated plugins have been deployed in the current environment.
- Test data pulls for different update frequency data sources, and confirm that data update times match the configured automatic pull intervals.
- Trigger tool calling syntax verification, and confirm that no
Your model may not support tool_calltype errors occur.
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.