What Data for This Category Looks Like
The data for aerospace equipment financing daily reports comes from public financing announcements of the Shanghai, Shenzhen and Beijing Stock Exchanges, and military industry information aggregation platforms. Updates are released after each trading day’s close, covering financing events in the aerospace equipment sector disclosed on that day. Documents use a single structured event entry format, with the following fields: financing party name, aerospace equipment product line scope, financing amount (unit: ten thousand RMB), financing round, investor institution list, and disclosure date. Disclosure date uses the YYYY-MM-DD standard format. The investor institution list is an array-type text collection.
Constraints for Tool Calling and Plugin Workflows
The trading-day update schedule for aerospace equipment financing daily reports requires that scheduled trigger rules for tool calling must bind to the trading day calendar. This prevents pull tasks from running on non-trading days, which would return empty data. The structured fields include an aerospace equipment product line scope parameter. A category filtering parameter must be added during tool calling to only pull financing events related to specific aircraft models and complete aircraft manufacturing. This prevents mixing in financing data from civilian consumer or other military sub-sectors. Financing amounts are fixed in ten thousand RMB. Plugin parsing must include preset unit validation logic to avoid confusion with other category financing reports that use hundred million RMB units. The investor list uses an array format. The result processing step after tool calling must adapt to traversal and extraction of array-type fields. Direct concatenation as a single string field is not supported.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_cron | 0 18 * * 1-5 | Matches the scheduled pull timing after trading day close, aligns with the disclosure rhythm of aerospace equipment financing daily reports |
tool_filter_schema | {"target_industry": "Aviation Equipment", "amount_unit": "ten thousand yuan RMB"} | Filters financing data outside the target category and unit, only retains structured entries from the aerospace equipment sector |
max_context_tokens | 8000-16000 | Accommodates parameters and results from multiple tool calls, adapts to the relatively large number of structured fields in aerospace equipment financing daily reports |
array_field_parse_mode | full_extract | Fully extracts all institution names from the investor list, adapts to the array-type field format |
tool_call_timeout | 600 seconds | Reserves sufficient processing time for batch pulling and parsing, prevents task interruption due to timeout mid-execution |
api_request_retry_times | 2-3 | Offsets temporary fluctuations in financial data interfaces, reduces the failure rate of tool calls |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, 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 Misconfigurations
- Calling the MySQL tool plugin returns
400 status code (no body). The cause is incorrect configuration of database connection timeout parameters. The connection is established but the request is not sent in time, leading to connection termination and an empty response body. - Calling the workflow API does not return expected context content. The cause is not passing historical conversation data in the
chat_historyfield of the API request. Even if the context switch is enabled inside the workflow, the API call does not carry the necessary context parameters. - Tool calling results do not match the preset question classification logic. The cause is specifying a model that only supports basic question answering in the
modelfield of the API request, without using a model version adapted for tool calling. Such models cannot correctly parse tool calling instructions.
How to Verify Successful Configuration
- Manually trigger a tool calling task, check the industry and unit fields of the returned results. Confirm only financing data from the aerospace equipment sector with units in ten thousand RMB is included.
- View the workflow’s context logs. Confirm that parameters and historical results from multiple tool calls are correctly stored, and verify the context window configuration meets business requirements.
- Test parsing the investor list field. Confirm all institution names are fully extracted, and verify the array parsing mode configuration is effective.
- Simulate triggering a scheduled task on a non-trading day. Check the task scheduling logs, confirm no pull operation is executed, and verify the scheduled trigger rule is correctly bound to the trading day calendar.
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.