What the Data for This Category Looks Like
Ledger data for hazardous chemical storage and transportation comes from tank area liquid level monitoring systems, hazardous chemical in-and-out warehouse registration systems, transportation GPS tracking platforms, and safety supervision record management systems. Data update rhythms fall into two categories: in-and-out operation records are synchronized in real time with business activities. Tank area liquid level and stock parameters are updated automatically every 15 minutes. Monthly safety supervision summary ledgers are generated on a fixed per-natural-month schedule. A single ledger document includes fields such as hazardous chemical name, CAS number, storage location, stock (unit: ton or cubic meter), in-and-out time, handler, transport vehicle license plate number, and safety supervision record number. Some fields must comply with format specifications from national safety supervision departments. Reference only; verify against the target FastGPT release and deployment documentation.
What Constraints Do These Characteristics Impose on the Tool Calling and Plugin Workflow
Multi-source heterogeneous data sources require plugins to support authentication methods and API formats for different systems, to avoid pull failures caused by interface incompatibility. Different update rhythms require tool calling settings with flexible time range filter parameters, to meet pull needs for both real-time data and historical summary data. Format specifications for required fields require plugins to include built-in validation rules, to block invalid requests missing CAS numbers or safety supervision record numbers, and ensure generated ledgers meet regulatory requirements. Cross-system data aggregation requires tool calling to support batch pulling and field alignment, to avoid data misalignment or gaps in summary reports.
How to Set Configurations
| Configuration Item | Suggested Setting | Rationale for This Setting |
|---|---|---|
| Tool Calling Mode | functionCall | Fixed calls to preset ledger pull functions, to avoid the model generating invalid calling parameters |
| Timeout Duration | 600 seconds | Cross-system pulling of multi-source data requires sufficient response time, to fit actual cross-platform data interaction needs |
| Number of Data Pulled per Request | Top 20 entries | Balance data completeness and context usage, to avoid exceeding the model's context window limit |
| Parameter Validation Rules | Enforce validation for CAS numbers and safety supervision record numbers | Align with regulatory requirements for hazardous chemical ledgers, to block invalid request data |
| Log Output Level | Detailed | Facilitate troubleshooting of exceptions from multi-data-source calls, matching common log troubleshooting needs |
| Data Range Filtering | By natural month or custom time interval | Adapt to business scenarios of monthly ledger summary and ad-hoc data queries |
Three Common Mistakes
- Scenario: Workflow runs, but detailed calling logs for MCP services cannot be viewed. Cause: Detailed log output switch for tool calling is not enabled.
- Scenario: Storage location file attachments cannot be passed when calling ledger system interfaces. Cause: Multi-part form data input format for HTTP tools is not configured.
- Scenario: Task times out due to excessive model thinking time. Cause:
toolChoiceis not set to fixed calling mode, causing the model to repeatedly attempt to generate invalid calling parameters.
How to Confirm Configuration is Complete
- A tool call is manually triggered, and the returned ledger data is verified to include all preset required fields.
- Workflow run logs are reviewed to confirm that tool calling parameters fully match the configured items.
- Data pulling across different time ranges is tested to confirm the filtering logic works correctly.
- An invalid request missing a CAS number is simulated to confirm the validation rule blocks the request.
The values provided here are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.