What this category of data looks like
This category of data comes from social insurance management systems, tax social premium collection systems, market entity registration information, and shared public security and civil affairs data. The update frequency is daily. Daily processed documents include enrollment registration forms, payment base declaration forms, personnel change forms, social premium verification notices, and personal benefit records. Data fields cover entity identification, personnel identity information, enrollment status, payment base, verified insurance types, payable amount, and more. All document fields must match unified cross-system verification rules.
Constraints imposed by these characteristics on the tool calling and plugins link
Cross-system data sources require plugins to support connecting to multiple types of system interfaces such as social insurance management and tax collection. The daily update rhythm requires tool calling to be configured with scheduled trigger rules to avoid data lag behind business needs. The cross-system verification requirement for document fields requires that tool calling parameters carry field matching rules to ensure consistency across source data. The consequences of errors in enrollment registration and premium verification directly affect personal benefits, so tool calling must be configured with failure retry and exception reporting mechanisms. The amount of data for a single call must also be limited to prevent timeouts or data overload.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapts to FastGPT v4.17.0's multi-data source plugin automatic calling logic |
functionCall | enabled | Forces tool calling to obtain complete data required for cross-system ledger summary |
| Tool call timeout period | 300–600 seconds | Covers average time for cross-system data pulling |
| Single tool call data count | First 200 entries | Limits per-batch data volume to avoid interface timeouts |
| Tool call failure retry count | 2–3 times | Addresses temporary network fluctuations or interface jitter |
| Plugin data filtering rules | Retain only fields related to enrollment registration and premium verification | Simplifies returned data to reduce context usage |
Three common errors
- Phenomenon: The ledger summary results returned by the API call do not match the results tested in the platform chat interface. Cause: The data source filtering parameters consistent with the test scenario were not passed in the API request, causing the tool call to use a different dataset.
- Phenomenon: When configuring multiple tool calls, it is not possible to accurately trigger the dedicated premium verification ledger generation plugin. Cause: The trigger condition for
functionCallwas not set correctly, causing the tool call to not match the target plugin. - Phenomenon: Items are missing from the premium verification data returned by the tool call. Cause: The scheduled pulling rule was not configured according to the daily update frequency, resulting in only historical partial data being pulled and the latest incremental data being omitted.
How to confirm the configuration is complete
- Initiate a tool call test, and verify whether the fields of the returned data match the preset fields of the enrollment registration form and premium verification notice.
- Simulate a data source update operation to verify whether the tool call can pull the latest daily updated data.
- Trigger a tool call exception scenario to check whether the corresponding exception reporting and retry process is started.
- Configure a multi-tool call scenario to verify whether the specified ledger generation workflow can be accurately triggered.
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.