What the data for this category looks like
Data sources include local financing service platforms connected to catering merchant operating cash flow records, and financing ledger systems of chain catering headquarters. Data refreshes fully for the previous calendar day every early morning. Each single record contains merchant unique identifier, store name, business format (such as full-service restaurant, fast food, tea beverage), daily loanable quota, financing application count, approved loan amount, due repayment amount, and data reporting date. Field units follow these rules: daily loanable quota is in CNY yuan, financing application count is an integer, and data reporting date uses YYYY-MM-DD formatted date strings.
What constraints these characteristics impose on tool calls and plugins
The daily full-data update requirement means tool calls must filter the pull scope using the data_report_date field to avoid duplicate processing of historical data. The enumerated business format field requires plugin parameter validation to limit valid values, preventing interface errors from invalid format inputs. Some fields such as due repayment amount may be empty; empty value skipping or default filling logic must be configured to avoid parameter errors during calls. The large number of fields per record and growing data volume as merchants expand require setting pagination pull parameters to control the volume of data returned per call and reduce timeout risks.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 600 seconds | Hotel and catering financing daily reports require connecting to multiple platform data sources, with long data pull times. 600 seconds covers the time needed to pull full data via pagination |
tool_call_max_retries | 2 retries | Financing data sources may experience temporary network fluctuations; retries reduce the probability of single-call failure |
tool_call_page_size | 50 records | Hotel and catering merchant counts are typically large; 50 balances data completeness and per-call response latency |
plugin_param_validate | strict + allow_empty_fields | Some financing daily report fields such as due repayment amount may be empty. This setting allows empty values to pass validation while checking required fields |
plugin_field_mapping | {"store_id":"商户门店编号","loan_quota":"当日可贷额度"} | Native field names of financing daily reports differ from plugin default fields; mapping enables unified recognition of business fields |
auto_sync_trigger | Daily 02:00 | Matches the data source's daily early morning update schedule, triggering tool calls to pull the latest daily report after data updates |
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 individual analysis. It is recommended to perform testing on self-contained samples before finalizing settings.
Three common configuration mistakes
- The symptom is a
400 InternalError.Algo.InvalidParameter: The tool call input contains invalid fielderror returned when calling the tool. The root cause is that the empty value allowance rule forplugin_param_validatewas not configured, triggering parameter validation failure when empty fields exist in the financing daily report. - The symptom is response latency exceeding 3 seconds on the first tool call, with normal latency on subsequent calls. The root cause is that no scheduled caching mechanism was configured; the first call needs to pull full data to generate a cache.
- The symptom is an error when using a time application plugin to pull financing daily report data. The root cause is that the plugin did not correctly map the
data_report_datefield, making it impossible to filter financing daily report data by date.
How to confirm configuration is complete
- Manually trigger a tool call, check if the returned results include the core fields of the financing daily report, and whether the field formats match business expectations.
- Review tool call logs to confirm that each call's latency does not exceed the configured
tool_call_timeoutvalue, and that retry counts have not reached the limit. - Check the scheduled sync task's trigger time to confirm it matches the data source's update schedule. Review automatically pulled daily report data for completeness the following day.
- Simulate passing test data containing empty fields to confirm that the plugin does not trigger parameter validation errors.
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.