What the data for this category looks like
Data for railway and highway intelligent due diligence reports in the financial sector originates from four primary sources: public operation and maintenance archives from transportation authorities, project completion acceptance materials, daily road administration inspection logs, and along-route operation monitoring systems. Three update frequency categories apply:
- Basic route information is archived and updated after project acceptance
- Daily inspection data is synchronized daily
- Real-time traffic flow and maintenance status data is refreshed every hour
Document structures include four core modules: basic route information, maintenance records, traffic flow data, and operation and maintenance cost ledgers. Covered fields include route mileage (unit: kilometers), defect level (graded labeling), daily traffic volume (unit: vehicle trips), maintenance cost per kilometer (unit: yuan), and additional relevant metrics. Some inspection documents include high-definition on-site photo attachments.
Constraints on Tool Calling and Plugins
The multi-dimensional data requirements of financial due diligence create specific constraints. The archive update cycle for basic route information and the refresh cycle for real-time operation data differ significantly. Tool calling must use two distinct modes: scheduled batch pulling and real-time incremental pulling. This avoids redundant requests or data lag. Multi-source data has inconsistent field units and classification standards. Tool input parameters must include unit verification logic to ensure uniform alignment of maintenance cost and traffic volume data from different sources. Some completion archives and inspection reports include high-definition attachments. Tool calling must support transmission and parsing of binary data streams, and adapt to pagination processing for long text fields. This prevents single requests from exceeding content length limits. Cross-module data association is a common requirement. The tool chain must support joint queries of route information, traffic flow data, and maintenance records to meet multi-dimensional analysis needs for due diligence reports.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MCP_SERVICE_TIMEOUT | 120-180 seconds | Complex cross-route transaction queries for railways and highways typically exceed the default 90-second threshold, so this setting accommodates long-process multi-table association and data aggregation |
PARSE_FILE_MAX_SIZE | 500 MB | Some inspection reports include high-definition photo attachments, so this setting supports upload and parsing of large-volume documents |
DATA_SYNC_INTERVAL | Calibrated to business cycle | The synchronization cycle for scheduled pulls must match the update rhythm of the corresponding data source. For example, real-time traffic flow data can be set to 3600 seconds |
TOOL_INPUT_VALIDATION | Enable unit validation | Operation and maintenance data from different sources have inconsistent units, so this validation checks input parameter unit consistency before tool calling |
MAX_CONTEXT_LENGTH | 8000-12000 characters | Due diligence reports require integration of multi-module data, so this long-text context accommodates context transfer requirements for multiple rounds of tool calls |
UPLOAD_FILE_ALLOWED_TYPES | pdf,jpg,png,csv | Covers core railway and highway document types, including completion archives, inspection images, and operation and maintenance ledgers |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Scenario: When calling a custom MCP service to process cross-route maintenance cost aggregation, a timeout error starting with
MCis returned, with a status code of 504. Cause: The system default MCP service timeout is 90 seconds, which does not accommodate the time requirements of complex railway and highway queries. - Scenario: The traffic volume data field returned by tool calling is empty or has inconsistent units. Cause: The
TOOL_INPUT_VALIDATIONconfiguration is not enabled, and no alignment verification is performed for field units from different sources. - Scenario: Large-volume inspection PDFs cannot be parsed normally by the tool. Cause: The
PARSE_FILE_MAX_SIZEconfiguration value is too small, which does not accommodate the volume requirements of high-definition attachments.
How to Verify Proper Configuration
- Call the test interface
/api/core/chat/chatTest, pass test parameters for railway and highway route queries, and check the timeout status returned by tool calls to confirm that the timeout configuration meets business requirements. - Upload a single inspection document that exceeds the default volume, verify that the tool can parse it normally and associate it with the corresponding route data, to confirm that the attachment parsing configuration is active.
- Configure multiple MCP services to pull data from different cycles, check the data synchronization logs to confirm that the scheduled and real-time pull configuration logic is correct.
- Pass field parameters with different units, check whether the tool triggers the unit verification logic, to confirm that the input verification configuration is active.
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.