What This Category of Data Looks Like
Data for this category primarily comes from customer product models, mold flow or forming simulations, CAD/CAM systems, machining and measurement data, and trial mold samples. Daily documents include mold design task sheets, DFM reports, part drawings, machining process cards, trial mold reports, mold modification notices, and mold records. Data updates are conducted on a per-project basis, triggered after each trial mold or mold modification. Data fields include mold cavity specifications, draft angles, forming material grades, machining accuracy requirements, trial mold defect records, and more. Field units adjust dynamically based on project parameters, with no unified fixed standard.
What Constraints These Characteristics Impose on Tool Calling and Plugins
The multi-source heterogeneous data formats and update rhythms of mold design and manufacturing require tool calling to adapt to dedicated interfaces for CAD and mold flow analysis software, avoiding format compatibility issues with general-purpose parsing tools. High-frequency updates tied to projects, trial molds, and mold modifications require plugins to pull the latest project documents in real time, preventing audits from using expired historical data. Audit logic linked to multiple associated documents requires tool calling to retrieve fields from multiple linked documents simultaneously. For example, combine part drawings and trial mold reports to verify draft angle compliance. Validation requirements for specialized fields require plugins to recognize category-specific fields such as mold cavity count and draft angle, ensuring audit logic aligns with actual mold design and manufacturing needs.
Configuration Settings
The following configurations are based on the functional logic of FastGPT v4.17.0:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Mandatorily set to functionCall | Ensures tool calling follows preset logic, avoiding audit deviations caused by free generation from the large model |
| Single tool call timeout | 600 seconds | Accommodates time-consuming scenarios such as CAD file parsing and mold flow simulation data retrieval |
| Tool call return result limit | Top 5 entries | Matches core audit data requirements for multiple associated documents per project |
| Context window size | 8000–12000 token | Supports the full content of multiple documents including mold design task sheets and trial mold reports |
| Tool call retry count | 3 times | Accommodates multiple validation requirements after trial mold or mold modification |
| User identity flag passing rule | Bind fixed parameters per project | Adapts to permission verification requirements when calling non-logged-in applications |
Three Common Misconfigurations
- Calling a dedicated validation tool returns empty results or a 400 status code. The cause is failing to correctly specify
functionCallmode, preventing the large model from matching the dedicated tool interface for mold design and manufacturing. - A timeout error occurs during tool calling. The cause is not setting a sufficiently long timeout period, failing to accommodate the time-consuming scenarios of CAD file parsing and mold flow simulation data retrieval.
- A non-logged-in application cannot retrieve user identifiers when called. The cause is not configuring the identity passing rule bound per project, preventing the MCP Server from identifying legitimate callers.
How to Verify Successful Configuration
- Test calling the dedicated validation tool, check if the returned results include mold design-specific fields, confirming the
toolChoiceconfiguration is active. - Simulate a time-consuming CAD file parsing scenario, check if tool calling triggers a timeout, confirming the timeout period configuration is reasonable.
- Call the interface of a non-logged-in application, verify that user identifiers can be passed normally, confirming the identity passing rule configuration is correct.
- Review tool calling logs, confirm the number of returned results matches the preset limit, confirming the result count configuration is active.
The values provided are common starting points and should be measured against the reader's own samples.