What the data for this category looks like
Carbon steel financing daily report data is sourced from three places: spot trading filing systems in the domestic steel circulation sector, trade financing ledgers from supply chain financial service providers, and daily financing declaration records from local steel markets. The data updates on a T+1 schedule. Full aggregated data for the current day is released the following early morning. Each data entry uses a structured field set. Core fields include statistical date, specific carbon steel grade, trader entity, financing channel, financing amount, financing term, and financing cost. All field units follow a unified standard: financing amount uses ten thousand yuan, financing term uses calendar days, and financing cost uses basis points.
Constraints for Tool Calling and Plugins
Multiple data sources require tool calling to configure multi-source authentication and data aggregation logic. This prevents incomplete data pulls from single sources. The T+1 update schedule requires scheduled task trigger times to be later than data source aggregation windows. Otherwise, empty ungenerated data will be pulled. Structured field formats require strict validation of returned field types and value ranges during tool calling. This prevents dirty data from entering the context window. Segmented carbon steel grades require tools to support filtering data by grade. This ensures returned content matches the category specified in user queries. Unified field units require plugins to automatically convert units from external data sources. This avoids inconsistent unit results.
Configuration Settings
| Configuration Option | Recommended Setting | Rationale |
|---|---|---|
mcp_multi_source_auth | Enable multi-source authentication, configure access keys for ["steel_spot", "bank_financing", "trade_platform"] | Covers all multi-data sources for carbon steel financing daily reports, ensuring data completeness |
tool_call_timeout | 120 seconds | Multi-source pulling for carbon steel data requires waiting for multiple API responses. This prevents valid data from being truncated by timeouts |
data_filter_schema | Configure {"steel_grade": ["Q235", "HRB400"], "amount_unit": "万元"} | Matches core categories and amount units for carbon steel financing daily reports, filtering non-target data |
schedule_cron_expression | 0 2 * * * | Matches the T+1 update frequency, pulling complete data from the previous day at 2:00 AM daily |
response_strict_mode | Enable | Carbon steel financing daily reports use structured data. Strict validation of returned field format and completeness is required |
max_return_entries | Top 20 entries | Prevents excessive returned data from exceeding the context window, optimizing calling efficiency |
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. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: Tool calls return financing data that includes non-carbon steel categories such as building materials and section steel. These do not match the Q235 and HRB400 grades specified in user queries. Cause: The category filtering rule in
data_filter_schemawas not configured. The tool did not perform precise filtering on returned data. - Issue: Local privately deployed models return a
403 Forbiddenerror when calling the MCP service, while online calls work normally. Cause: Local deployments did not sync multi-source authentication keys from the online environment. This prevents passing permission checks from data sources. - Issue: Tool calls return empty results with no financing daily report data entries after triggering. Cause: The
schedule_cron_expressionfor scheduled tasks is set earlier than the data source's aggregation update time. This pulls ungenerated same-day data.
How to Verify Proper Configuration
- Manually trigger a single tool call. Check if the returned data's
steel_gradefield includes the preset carbon steel grades. Confirm the filtering configuration is active. - Review tool call logs. Confirm no timeout errors occur, and response times match the configured
tool_call_timeoutsetting. - Cross-check scheduled task execution times against data source update logs. Confirm that complete statistical data from the previous day was pulled.
- Switch to a local privately deployed model and call the MCP service. Confirm authentication keys are configured correctly and no connection errors 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.