What this category’s data looks like
Data for the plastics and rubber financing daily report comes from four main sources: daily transaction data from domestic bulk commodity spot trading platforms, warehouse receipt daily reports from futures exchanges, daily import clearance data from national customs authorities, and survey data from industry associations. Full data for the previous calendar day updates at a fixed morning time each day. Small incremental updates for some real-time quotes are added at noon the same day. The document uses structured tables as its core framework. It includes fields such as spot transaction price, warehouse stock volume, import clearance volume, and operating load value. Plain-text supplementary content for limited industry updates is included alongside the tables. All fields have clear unit identifiers.
What constraints these characteristics impose on tool calling and plugins
The need to pull data from multiple sources requires tool calling to support configuring API interfaces for multiple independent data sources. This prevents data loss if a single data source fails. The fixed update schedule requires plugin scheduled trigger tasks to align with the daily morning update window for the report. This avoids pulling outdated data that has not finished updating, or reprocessing already archived data. The primarily structured document format requires tool calling to configure precise field extraction rules. This ensures only data for target dimensions is extracted, and unstructured redundant text is filtered out. Fields with clear units require the tool to include unit validation logic. This prevents incorrect data with abnormal units from being extracted.
How to set the configurations
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
mcpserverproxyendpoint | http://localhost:8080 or the public network address for local deployment | Adapts to local MCP Server deployment scenarios, meets the proxy forwarding requirements for tool calling |
tool_call_timeout | 600 seconds | Adapts to the time required for pulling data from multiple sources, prevents request interruption from early timeout |
structured_extract_schema | Spot Price (yuan/ton), Warehouse Stock (10k tons), Import Clearance Volume (10k tons), Operating Load | Matches the structured fields in the daily report, ensures target data is extracted |
data_source_polling_interval | 86400 seconds | Matches the daily update schedule of the daily report, avoids repeated pulling or missing updated data |
request_retry_times | 3 times | Addresses occasional interface fluctuations from bulk commodity data sources, ensures successful data pulling rates |
version | 4.96 and above | Supports full functionality of the MCP toolset, adapts to local MCP Server calling requirements |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Symptom: A field format error is prompted when calling the text extraction tool, and an empty result is returned. Cause: The
structured_extract_schemais not configured to exactly match the daily report fields, so the tool cannot recognize the target extraction fields. - Symptom: A connection cannot be established after deploying the MCP Server locally, and a
500 connection timeouterror is returned in logs. Cause: Themcpserverproxyendpointparameter is set tolocalhost:portwithout correctly mapping the local port in the FastGPT deployment environment, so the proxy cannot forward requests. - Symptom: The number of results returned by tool calling is insufficient, and non-target category data is included. Cause: The
data_source_polling_intervalis not configured to a daily fixed interval, or non-plastics and rubber category entries are not filtered in the field mapping rules.
How to confirm configurations are properly set
- Check the MCP Server running logs to confirm that FastGPT proxy requests have successfully established a connection, with no
connection refusedtype errors. - Manually trigger a tool call, and verify that the extraction results include all preset target fields, and that field units match the daily report standards.
- Wait for the daily fixed update time, and check if the latest data pulled by the tool matches the daily report release time for that day.
- Check the tool calling return logs to confirm that the
tool_call_timeouthas not triggered a timeout error, and that request latency is within a reasonable range.
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.