What This Type of Data Looks Like
Joint-stock bank yield rate and market data primarily comes from the bank’s retail wealth management system, corporate interbank transaction ledger, and public quotation interfaces from the China Foreign Exchange Trade System. Data updates follow two schedules: real-time quotes every 15 minutes during trading hours, and a full daily yield rate report generated after market close each day. Each daily report is a structured table containing fields such as product code, full product name, benchmark yield rate range, actual redemption yield rate, daily net value, and update timestamp. Yield rates use percentage units, net value and income use Chinese Yuan units, and timestamps are precise to the minute.
Constraints on Dialog Logs and Auditing Workflows
This category of data has two update schedules (real-time quotes and post-market daily reports) and a large number of fields. As a result, the dialog logs and auditing workflow must match the recording rules for both data scenarios. For real-time query scenarios, logs must fully record the requested product range, time interval parameters, and all returned field content, to avoid missing compliant disclosure information due to truncated fields. For post-market daily report generation scenarios, additional records must be kept of task trigger time, execution duration, and verification markers for generated results, to ensure that the generation process for every daily report is traceable. Additionally, the multi-dimensional nature of structured fields requires that log storage be indexed by field, to improve retrieval efficiency during audits.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_call_log_include_output | Defaults to false, enable only when auditing is required | Reduces redundant tool run step logs, lowers storage usage, and focuses audit records on core requests and results |
log_retention_days | 180 days | Aligns with the general retention period for compliance audits in the financial industry, meeting regulatory audit requirements for joint-stock banks |
audit_field_whitelist | ["product_code", "yield_rate", "update_time", "net_value"] | Only retains core compliance audit fields for joint-stock bank yield rate data, simplifying audit retrieval workflows |
excel_parse_max_columns | 20 columns | Adapts to the standard multi-field structure of joint-stock bank yield rate daily reports, resolving issues where multi-column Excel files cannot be fully parsed |
request_retry_max_times | 2 times | Addresses temporary network fluctuations during MCP tool calls, reducing audit record loss caused by single request failures |
batch_task_timeout | 300 seconds | Adapts to the average execution duration of post-market daily report generation, preventing incomplete log records caused by task timeout interruptions |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on local samples before finalizing settings.
Three Common Misconfigurations
- Issue: The tool call module continuously outputs redundant run records, resulting in excessive storage usage for dialog logs. Cause: The
tool_call_log_include_outputconfiguration item is not disabled, and full step run logs for tool calls are retained by default. - Issue: A
400 do request failed: Post "https://xxx"error is returned when calling an MCP tool, and a stable connection cannot be established. Cause: A reasonable retry count forrequest_retry_max_timesis not configured, orbatch_task_timeoutis not set to adapt to network latency for tool calls, resulting in a single request timing out without triggering retries. - Issue: When uploading a yield rate daily report Excel file with multiple columns, only the first two columns of data are recognized. Cause: The
excel_parse_max_columnsconfiguration item is not adjusted, and the default configuration only supports recognizing two columns, which cannot match the multi-field structure of joint-stock bank daily reports.
How to Verify Proper Configuration
- Initiate a real-time yield rate query dialog, and check that dialog logs only retain request parameters and final results, with no redundant tool run step records.
- View the log retention management interface, and confirm that the log retention period meets preset compliance requirements, with no historical logs automatically cleaned up prematurely.
- Upload a standard multi-column format yield rate daily report Excel file, and confirm that all preset fields are displayed after parsing, with no missing or truncated content.
- Simulate an MCP tool call, and check that a retry mechanism is triggered after a request fails, and that unhandled connection errors do not 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.