What the data for this category looks like
Data for this category mainly comes from government information disclosure platforms, official archive systems, internal document systems, departmental business ledgers, and relevant government regulatory texts. Commonly processed documents include government information disclosure application forms, correction notices, third-party opinion solicitation letters, formal reply letters, service receipts, and administrative reconsideration response materials. Fields include applicant identity information, application description, information scope, public attribute judgment basis, and remedy channel explanations. Data updates have no fixed cycle, changing with individual application progress or policy adjustments.
What constraints do these characteristics impose on the "tool calling and plugins" link
Scattered data sources and inconsistent formats require tool calls to adapt to multi-system interfaces, and support pulling application information and historical archives from different platforms. Document fields have legally mandatory items, so tool calls must verify the completeness of required fields to avoid missing legally required content such as remedy channels. Data updates have no fixed cycle, so plugins must support dynamically pulling the latest policy texts and historical application cases. Time-consuming points in the handling process require tool calls to complete information retrieval and attribute judgment quickly, avoiding lengthening the handling workflow. Consequences of errors affect administrative compliance, so plugins must be configured with failure retry and exception alert mechanisms.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapts to tool call triggering logic for different scenarios, no manual specification of called functions required |
| Tool call timeout duration | 300–600 seconds | Must cover the actual time spent pulling archives and policy texts across systems |
| Single tool call return entry count | top 3–5 entries | Must match the volume of associated information for a single application material, avoiding context overload |
| Context window limit | 8000–12000 token | Must accommodate the full content of application forms, historical replies and policy basis |
| Failure retry count | 2 times | Must balance call success rate and handling efficiency, avoiding excessive workflow blocking |
Three common errors
- Symptom: Empty tool call return results or missing required fields. Cause: Cross-system interface permission verification parameters are not correctly configured, making it impossible to pull historical application data from the archive system.
- Symptom: Tool call timeout error. Cause: The timeout configuration is not adjusted based on the actual time spent pulling across systems, and a general short timeout setting is used instead.
- Symptom: Locally deployed MCP service cannot be called, logs show connection timeout or invalid address. Cause: The service access address is not filled correctly, using
localhostby mistake for cross-node deployment scenarios, or access permission for the corresponding port is not opened.
How to confirm the configuration is properly set
- Initiate a simulated government information disclosure upon application, trigger the tool call link, and check whether historical application data and policy texts in the corresponding archive system can be pulled normally.
- View the tool call log, and confirm that parameters such as
toolChoiceconfiguration, timeout duration, and return entry count match the preset values. - Test the access configuration of the local MCP service, initiate a call using the preset address, and confirm that normal structured data is returned.
- Simulate a tool call failure scenario, and check whether the preset retry mechanism and exception alert are triggered.
The values provided are common starting points and should be evaluated 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.