What This Type of Data Looks Like
Data sources include existing loan and deposit ledgers from the bank’s core business system, interbank wealth management quotes disclosed by the National Banking Wealth Management Information Registration System, and regional financial market reference data released by local regulatory authorities. Three update schedules apply: Existing bank business data is updated at the end of each day. Interbank wealth management quotes are updated on a rolling basis at fixed times each workday. Regional reference data is updated once per week. Each data entry includes a 12-digit institution code, business type tag, term range identifier, benchmark yield value, and release timestamp. The business type tag is a fixed enumerated string. Term ranges are categorized by day, month, and year. The benchmark yield value retains four decimal places, with units in basis points.
Constraints Imposed on Tool Calling and Plugins
These data characteristics impose multi-dimensional constraints on tool calling and plugins. First, multi-source heterogeneous data sources require plugins to support parallel calls to multiple API endpoints and result merging. Timeout thresholds must be configured for each data source. Second, fixed enumerated business types and the 12-digit institution code field require the tool’s input parameter validation rules to strictly match preset enumerations and formats. Invalid results will be returned if validation is not performed. Data sources with different update schedules require plugins to set separate cache durations and polling intervals. This avoids frequent calls to low-frequency updated regional reference data, while ensuring timeliness of high-frequency updated interbank quote data. The required format of the release timestamp also requires the tool to add a unified format conversion logic during data parsing. This prevents time parsing errors.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 300 seconds | Matches the average response time for multi-source data aggregation in rural commercial banks, prevents process interruption from multi-API call timeouts |
param_enforce_check | Enabled | Matches the fixed enumerated business type and 12-digit institution code format requirements for rural commercial bank data, filters invalid input parameters |
cache_ttl_multi_source | Interbank wealth management interface: 3600 seconds, Regional reference data: 86400 seconds | Differentiates cache durations by data source update frequency. Shorten cache duration for high-frequency updated interbank quotes, extend cache duration for low-frequency updated regional reference data |
tool_concurrency_limit | 2 concurrent requests | Matches call frequency limits for most rural commercial bank third-party data sources, avoids triggering rate limiting rules |
response_parse_schema | Parse release timestamps in ISO 8601 format | Matches the timestamp field format of data entries, ensures correct result parsing |
tool_selection_mode | Single tool priority | Avoids result conflicts from concurrent multi-tool calls, matches the single-source first acquisition logic for rural commercial bank data |
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 case-by-case analysis. Testing on the reader’s own samples is recommended before finalizing settings.
Three Common Misconfigurations
- The symptom is a
400 Bad Requesterror returned when calling the tool, with an interface prompt of "Invalid input parameter format". The cause is that theparam_enforce_checkconfiguration is not enabled. The 12-digit institution code format and business type enumerated values are not validated, leading to invalid parameters being sent to the data source interface. - The symptom is tool call failure and empty results when calling a non-specified large language model. The cause is that compatibility rules between the large language model and tool calling are not configured. The tool calling protocol format of some large language models does not match the requirements of the rural commercial bank data interface.
- The symptom is concurrent requests in the tool calling workflow, with multiple duplicate yield data entries returned. The cause is that
tool_selection_modeis not set to single tool priority. Multiple tool instances simultaneously call the same data source, resulting in duplicate results.
How to Verify Proper Configuration
- Input test parameters that meet the 12-digit institution code and enumerated business type requirements. Call the tool and check the field completeness and format correctness of the returned results.
- Review tool call logs. Confirm that cache durations for different data sources match their respective update frequencies. No cases where cache duration exceeds the update interval should occur.
- Trigger the tool selection workflow. Confirm that only the target tool for the single scenario is called. No duplicate results from concurrent calls are generated.
- Update the configuration to use an incompatible large language model. Call the tool and check that expected error prompts are returned. No abnormal crashes or empty results should 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.