What the Data for This Category Looks Like
Power generation equipment manufacturing service inquiry data mainly comes from equipment operation and maintenance logs, factory quality inspection reports, industry standard specification documents, and real-time sensor collected data streams. Data updates are synchronized after single equipment maintenance is completed, or batched archived on a monthly cycle. Each document structure includes fields such as equipment model, rated power, insulation resistance, fault code, and standard processing procedures. Units uniformly adopt industry general measurement standards such as megawatts, megohms, and operating hours. Most document formats are structured tables and standardized PDF manuals.
Constraints Imposed on Tool Calling and Plugins by These Characteristics
The multi-source hybrid data characteristics of power generation equipment manufacturing require tool calling to support both structured parameter query and unstructured fault document parsing. The low-latency requirement of real-time sensor data streams requires tool calling timeout thresholds to adapt to millisecond-level response requirements. Fixed field and unit rules require plugins to have built-in unit verification logic to avoid call failures caused by mismatched parameter units. The monthly archive update rhythm requires plugins to be configured with regular data source synchronization tasks to ensure access to the latest operation and maintenance data during calls. Mixed input of multi-format documents requires tool calling to support both PDF parsing and structured data extraction processing modes.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapts to multi-type inquiry scenarios in power generation equipment manufacturing, automatically matches tool calling or direct response logic |
functionCall | ["get_equipment_param", "query_fault_process"] | Covers core service inquiry needs of power generation equipment manufacturing, matches two core scenarios: parameter query and fault handling |
| Tool calling timeout duration | 300–800 milliseconds | Adapts to low-latency response requirements of real-time sensor data, avoids excessive waiting that affects user experience |
| Data source synchronization cycle | Every 7 days | Matches the monthly archive update rhythm, balances data freshness and system call performance |
| Unit verification switch | Enabled | Adapts to fixed measurement standards in power generation equipment manufacturing, prevents call failures caused by mismatched parameter units |
| Number of returned results | Top 3 entries | Avoids redundant information interfering with inquiry responses, focuses on core valid content |
Three Common Misconfigurations
- A
Your model may not support tool_call SyntaxErrorerror occurs during tool calling. This is caused by incorrect formatting of thefunctionCallparameter, which prevents the model from recognizing valid tool calling syntax. - A line chart returned by an MCP tool cannot be displayed in the chat page. This is caused by failing to package chart data in the JSON format required by FastGPT, with missing necessary visualization configuration fields.
- Tool calling results do not match actual equipment data. This is caused by not configuring regular data source synchronization tasks, using expired operation and maintenance log data.
How to Verify Proper Configuration
Reference only; verify against the target FastGPT release and deployment documentation.
- An equipment parameter query request is submitted, and the returned results are checked to include the preset tool calling logic.
- A fault handling inquiry is triggered, and the tool calling parameters are checked for fields and units compatible with power generation equipment manufacturing scenarios.
- Data source synchronization logs are reviewed, and confirmation is made that a complete log synchronization was completed within the most recent synchronization cycle.
- The unit verification switch is tested, a query parameter with an incorrect unit is input, and the system's returned verification prompt is verified.
The values provided 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.