What data for this category looks like
Data sources for this category include EAM/CMMS systems, equipment sensor data, operator inspection records, maintenance history archives, spare parts inventory lists, and statutory inspection records for special equipment. Data update cycles cover shift-by-shift inspections, daily/weekly/monthly maintenance plan updates, and immediate reporting when faults occur. Daily documents include equipment ledgers, inspection sheets, graded maintenance plans, work orders, fault analysis reports, spare parts lists, and special equipment inspection records. Fields include equipment numbers, inspection points, parameter thresholds such as temperature and vibration values, maintenance man-hours, spare part models, and corresponding units including degrees Celsius, millimeters, hours, and others.
Constraints on tool calling and plugin workflows
Multi-source data access requires tool calls to adapt to interface formats of different systems, to prevent retrieval failures caused by data format mismatches. Data sources with different update frequencies need matching trigger timings. For example, shift inspection data must be called daily, and sensor data must be called immediately when a fault occurs. The specificity of document fields and units requires tool return results to strictly match preset equipment data fields. This ensures generated process documents and exception reports comply with internal enterprise document specifications. Fault handling timeliness requires tool calls to have low latency. This avoids delaying production scheduling and maintenance progress due to slow response times.
Configuration settings
The following configurations are formulated based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Lets the model autonomously select tools adapted to the current equipment inspection scenario, no manual specification of call targets, adapts to retrieval needs for multiple data sources |
| Workflow/API function-call configuration | Enabled | Requires the model to generate call parameters strictly in accordance with preset equipment data field formats, ensuring return results match the field and unit requirements of inspection documents |
| Tool call timeout | 30-60 seconds | Adapts to typical interface response delays of EAM/CMMS systems, avoids delaying exception report drafting during fault scenarios due to timeout |
| Tool return result filtering rules | Retain the first 3-5 records matching the current equipment number | Reduces context redundancy, improves the accuracy of process documents and exception reports generated by the model |
| Maximum context length for tool calls | 8000-12000 token | Adapts to the document length of equipment inspection data, prevents tool call failures caused by context overflow |
| Plugin data source permissions | Only grant access to production data for the corresponding workshop | Restricts access to sensitive equipment data, complies with internal production data security specifications |
Three common misconfigurations
- Symptom: Tool calls via MCP plugins return empty results, logs show the request succeeded but no valid data is returned. Cause: The backend proxy address of the plugin was not configured correctly, so the tool cannot connect to the EAM/CMMS data source for the corresponding workshop, and cannot retrieve inspection or maintenance data for the specified equipment.
- Symptom: The model triggers a timeout error when calling a tool, and the interface shows the request was not completed. Cause: The tool call timeout setting is too short, which does not adapt to the interface response delay of EAM/CMMS systems, or network fluctuations cause the request to be interrupted.
- Symptom: The spare part model in the generated exception report does not match the actual inventory. Cause: Retrieval parameters for spare parts inventory data were not included in the tool call configuration, so the model only calls maintenance history data and does not synchronously check current spare part inventory information.
How to confirm configurations are valid
- A manual tool call can be triggered, with the specified equipment number entered, to verify if returned inspection records match actual data in the EAM/CMMS system.
- A fault occurrence scenario can be simulated, with the exception report drafting process triggered, to confirm if tools call records from the corresponding data source according to preset rules.
- Plugin operation logs can be reviewed to confirm that each tool call request parameter includes exclusive fields for the current equipment such as equipment number and workshop code, with no omissions or errors.
- The tool call timeout can be adjusted to a value exceeding typical response durations, to test if a reasonable timeout error prompt is triggered and confirm that the configuration takes effect.
The values provided are common starting points and should be evaluated against relevant operational samples.