What the data for this category looks like
Daily documents for this category typically include elderly care institution filing materials, operation subsidy application materials, service quality inspection forms, safety hazard rectification ledgers, and elderly admission files. Data generally comes from elderly care service information platforms, civil affairs statistics systems, fire inspection records, and institution operation ledgers. The update frequency is monthly. Common data fields include institution name, filing number, bed count, inspection time, rectification status, and subsidy application status. Relevant units involve bed count, inspection times, and rectification deadlines. There is no fixed unified statistical caliber. Corresponding fields must be matched based on different document types. Data formats differ somewhat across sources.
Constraints imposed on tool calling and plugins by these characteristics
Monthly updated data requires tool calling to adapt to periodically synchronized data sources. This prevents calling expired offline data. Mixed calls of multiple document types require tools to distinguish field rules for different document types, such as filing materials and inspection records. This avoids cross-type data confusion. Oversight scenarios have strict data accuracy requirements. Tool calling results must exactly match fields from original ledgers. No field missing or misalignment is allowed. Multi-collaborative department data sources require tools to support cross-system permission adaptation. This ensures compliance of data calls. After automating the most time-consuming oversight verification link via tool calling, tool return results must be directly usable for verification. This reduces secondary organization costs.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | Specify as a custom tool list | Elderly care oversight scenarios require limiting calls to preset civil affairs and fire-related tools. This prevents the model from randomly calling irrelevant tools, ensuring Q&A is based on official compliant data sources |
| Tool calling timeout | 300–600 seconds | Cross-system calls for civil affairs and fire data require waiting for synchronized responses. A duration that is too short will cause call failures. A duration that is too long will extend Q&A response time |
functionCall | Force trigger tool calling | Policy and regulatory basis Q&A must strictly rely on official documents and ledger data. It cannot rely on non-authoritative content generated by the model. This ensures compliant and accurate responses |
| Tool calling result cache duration | 720 hours | Matches the monthly data update frequency. A cache duration not exceeding the update cycle ensures timeliness of called data. This avoids using expired information |
| Tool calling retry count | 2–3 times | Addresses temporary network fluctuations that may occur during cross-system calls. This improves call success rate |
| Tool calling result verification rules | Calibrate based on actual testing | Document field formats vary across sources. Verification logic must be adjusted based on the structure of actual elderly care oversight data. This ensures return results can be directly used for oversight verification |
Three common configuration errors
- Symptom: After configuring
toolChoice, the model still automatically enters inference mode to generate non-tool calling results. Cause: ThetoolChoiceparameter is not set to force calling specified tools, or the exclusive tool list for the elderly care oversight scenario is not correctly bound. - Symptom: Data returned by tool calling does not match fields from original ledgers. Cause: Corresponding field mapping rules are not set for different document types. This causes cross-source data misalignment, making it impossible to directly use the data for oversight verification.
- Symptom: After configuring MCP tools, cross-system calls always show connection exceptions. Cause: Tool connection parameters are not correctly configured, or the permission verification rules of the data source are not matched. This prevents normal retrieval of elderly care service-related data.
How to confirm the configuration is complete
- Confirm that the currently used FastGPT version is a stable version that supports the MCP function. Prioritize versions v4.17.0 and above for long-term deployment.
- For FastGPT v4.17.0 and later, initiate a policy Q&A related to elderly care institution filing. Check that the model only calls preset oversight-related tools, and no unsubstantiated content is generated. For FastGPT v4.8 and later, confirm that MCP tool configuration has been correctly enabled.
- View tool calling logs. Confirm that the response time for each call falls within the preset timeout range. No frequent timeouts or errors should occur.
- Compare the data returned by the tool with fields from the original elderly care institution ledger. Confirm that field matching meets business verification requirements.
- Trigger a tool call after monthly data update. Confirm that the returned data is the latest ledger and inspection record data.
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.