What the Data for This Category Looks Like
The data for paper manufacturing yield and market trends comes from the public monitoring platform of the domestic light industry manufacturing industry association and the paper category market trend interface of the bulk commodity trading market. It is updated at a fixed time every day to release the daily full-category report. The document structure is a structured table, including core fields such as paper category, daily average transaction price, daily trading volume, and inventory turnover cycle. The corresponding units of the fields are as follows: paper category is text identifier, transaction average price is in yuan/ton, trading volume is in tons, and inventory turnover cycle is in calendar days. The data only includes market snapshots of the current day and the past 7 days, with no historical annual summary fields. Periodic data must be obtained by splicing multiple calls.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
Paper manufacturing market trend data relies on third-party public interfaces, and accurate matching of paper category is required to return valid data. Therefore, tool calling requires configuring dedicated API authentication parameters and limiting call frequency to avoid triggering interface current limiting. Since the data is a structured daily report updated daily, tool triggering must be bound to a fixed daily scheduling task. Frequent calls to interfaces outside the update period should be avoided to reduce invalid requests. In addition, although there are many data fields, only some of them are used for yield rate calculation. The range of returned fields must be limited in the tool configuration to avoid redundant information processing by the model. Furthermore, market trend data for paper manufacturing categories must be distinguished from general bulk commodity data, and a dedicated tool must be configured separately to prevent the model from mistakenly selecting market trend interfaces for other categories.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_api_timeout | 120 seconds | Paper manufacturing market trend interfaces mostly rely on third-party data sources, and their response delays are generally higher than general conversation interfaces. 120 seconds covers most normal call scenarios |
tool_call_max_retries | 2 times | Third-party market trend interfaces occasionally experience current limiting. 2 retries cover temporary fluctuations and avoid direct tool call failures |
tool_selection_mode | Fixed specification | Paper manufacturing category data requires accurate matching of paper categories. Fixed specification of the tool prevents the model from mistakenly selecting market trend tools for other categories |
global_variable_scope | Global scope | Paper manufacturing yield rate calculation needs to reuse global parameters such as paper category and statistical cycle. Global scope reduces repeated configuration |
tool_field_filter | Only retain core calculation fields | Only return fields including paper_category, avg_transaction_price, inventory_turnover_days to reduce redundant information for model processing |
plugin_schedule_trigger | 16:00 daily | Matches the update schedule of paper manufacturing market trend daily reports, avoiding calls to invalid interfaces outside update windows |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Tool calling returns results that do not include expected paper manufacturing industry background information, and generated content deviates from the data source. Cause: The
tool_knowledge_base_bindparameter is not configured, or the bound knowledge base is not associated with paper manufacturing category data, causing the tool call to not trigger knowledge base recall. - Phenomenon: The plugin displays inconsistent names in the system plugin list and plugin management page, making it impossible to match the expected configuration during debugging. Cause: No unified display name is set in the
plugin_display_nameconfiguration item, and the system uses the internal code identifier as the display name by default. - Phenomenon: Price data returned by tool calling has additional numerical deviations that do not match the values returned by the original interface. Cause: No numerical precision is limited in the tool configuration, or the model performs additional magnitude conversion during data parsing, causing data anomalies.
How to Confirm Successful Configuration
- Enter the FastGPT tool debugging panel, input the specified paper category parameter, trigger the tool call, and check whether the returned fields match the scope configured in
tool_field_filter. - View the plugin scheduling log to confirm that there are successful call records during the daily configured trigger period, and no invalid calls are generated outside the trigger period.
- Enter the API call test page, pass in the global variable parameters, and confirm that the tool call can correctly read the configuration information such as paper category and cycle in the global variables.
- Check the display names in the system plugin list and plugin management page to confirm that both are unified to the content of the configured
plugin_display_name.
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.