What the data for this category looks like
Data for state-owned industrial funds primarily comes from state-owned assets supervision and filing systems, internal investment research ledgers, and project management platforms. The data includes fields such as fund subscribed scale, paid-in amount, post-investment project list, individual project investment amount, and investor entity information. The units are 100 million yuan and 10,000 yuan respectively. Filing-based basic information is updated quarterly. Post-investment project updates are synchronized weekly. Internal operation ledgers are updated daily. The number of entries per record fluctuates based on the number of managed funds.
What constraints these characteristics impose on tool calling and plugins
The data fields of state-owned industrial funds have complex associations, including cross-entity subscribed, paid-in, and post-investment information. Tool calling must support nested parameter passing to meet cross-entity, multi-dimensional query requirements. The update rhythms of different data sources vary significantly. Plugins must distinguish and configure pull cycles to avoid resource occupation caused by high-frequency pulling of daily-updated internal ledgers. Field units include different magnitudes such as 100 million yuan and 10,000 yuan. Plugins must have built-in unit conversion logic to ensure the returned data format matches the display requirements of internal office systems. Post-investment project data is dynamically adjusted. Tool calling must support incremental pulling to reduce bandwidth consumption from full data transfers.
How to configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | Manually set to functionCall | Adapts to multi-parameter nested tool calling scenarios for industrial funds |
| Data source pull cycle | Configure separately by data source type: set internal ledgers to 1 hour, filing data to 24 hours | Matches the update rhythms of different data sources and reduces invalid requests |
| JSON input box variable binding | Enable the variable mapping toggle | Supports directly injecting variables such as internal OA project IDs and fund codes into JSON parameters |
| Data unit conversion | Enable built-in unit conversion rules | Unifies the display format of 100 million yuan and 10,000 yuan to match the display requirements of internal office systems |
| Timeout threshold | 30 seconds | Adapts to the average latency level of internal office networks |
| Permission filtering toggle | Enable permission verification | Complies with the principle of least privilege for state-owned assets data security management |
Reference only; verify against the target FastGPT release and deployment documentation.
Three common configuration mistakes
- Symptom: Cannot select preset variables in the JSON input box, and fields show as empty after parameter submission. Cause: The variable mapping toggle for the JSON input box is not enabled, so the system cannot recognize the injected variable placeholders.
- Symptom: Connection timeout error is returned when calling a local MCP service. Cause: The intranet access whitelist for the local service is not configured, or the plugin's network request does not point to the correct local port.
- Symptom: URL image addresses returned by the plugin cannot be displayed in the internal office system. Cause: The domain name of the image URL is not added to the plugin's whitelist configuration, or cross-domain access support for image resources is not enabled.
How to confirm a configuration is correct
- Submit a test call and check if the fields and units of the returned data match the format of the internal ledger.
- Check the tool calling logs to confirm that variables have been correctly injected into the parameters of the JSON input box.
- Simulate pull requests for different data sources to verify that the pull cycle matches the preset configuration.
- Call project data with restricted permissions to confirm that the returned results only include information within the authorized scope.
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.