What This Category of Data Looks Like
This category of data typically originates from urban management law enforcement platforms, urban operation grid platforms, video surveillance systems, and public complaint work orders. Data is updated daily. Daily generated documents include inspection records, case filing approval forms, on-site photos, rectification notices, penalty decisions, case closure reports, and similar materials. Common data structure fields include unique case identifiers, inspection or disposal timestamps, incident locations, party information, descriptions of illegal conduct, law enforcement document numbers, and supporting material indexes.
Constraints on Tool Calling and Plugins from These Data Characteristics
The requirement for multi-source data access means tool calling must support interfacing with multiple data sources such as urban management law enforcement platforms and grid platforms. Daily updated data requires tools to have scheduled synchronization tasks configured, to prevent use of expired case or policy data. Documents include both text and multimedia materials, so tools must support both structured text parsing and content extraction from unstructured images. Law enforcement scenarios have strict accuracy requirements: tool calling parameters must strictly align with policy basis retrieval rules, and a failure retry mechanism must be configured to avoid case evidence loss or law enforcement disputes caused by calling exceptions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | This scenario requires automatic matching of policy basis and case data, no manual tool specification is needed |
functionCall | enabled | External tools must be called to query policy articles and case association information |
| Database connection timeout | 30 seconds | Urban management law enforcement platform interfaces typically have stable responses; this duration avoids long periods of invalid waiting |
| Tool call retry count | 2 times | Network fluctuations may cause a single call to fail; retries can improve call success rates |
| Maximum single tool return results | Top 3 entries | Policy basis requires precise matching; too many results will interfere with law enforcement judgment |
| Context window size | 8000 token | Case materials and policy articles must be fully loaded; this size covers information needs for typical scenarios |
Three Common Configuration Mistakes
- Symptom: An error occurs when passing parameters via variables using the database connection tool, while manual execution of SQL statements runs normally. Cause: The variable scope was not configured correctly, so preset database connection parameters cannot be retrieved during tool calling.
- Symptom: A 400 status code is returned when calling the policy query tool. Cause: The request parameter format does not meet the target interface requirements, such as failing to correctly include the case number or policy category identifier.
- Symptom: Tool calling fails to trigger in the workflow, and only plain text responses are returned. Cause: The
functionCallconfiguration item is not enabled, so the system does not activate the tool calling logic.
How to Verify Configuration Completion
- Access the tool configuration page in FastGPT v4.17.0, and confirm that the values of
toolChoiceandfunctionCallmatch the preset configuration. - Submit a test request with a simulated urban management law enforcement case number, and check whether the tool successfully calls the corresponding data source and returns matching policy basis.
- Simulate a network interruption scenario, and check whether the tool triggers the preset retry mechanism and returns normal results after recovery.
- Review the tool call log, and confirm that variable parameters are correctly passed to the database or external interface, with no missing parameters or format errors.
The values listed above are common starting points, and should be evaluated against samples from the target deployment.
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.