What the Data for This Category Looks Like
Due diligence data for industrial parks is sourced from national land use planning public platforms, official investment promotion ledgers of park management committees, real estate registration systems, and annual reports of settled enterprises. Update cycles vary across sources: investment promotion and settlement data is updated monthly, real estate ownership data is synchronized quarterly, and annual operation reports are updated annually. Document structure is split into two parts: structured fields and unstructured text. Structured fields include total park area, floor area ratio, tax per mu, list of settled enterprises, and more. Units include mu, square meters, and ten thousand yuan/mu/year. Unstructured text includes park industry positioning plans, investment promotion policy descriptions, and other relevant content.
Constraints Imposed on Tool Calling and Plugins
The scattered nature of multi-source data requires tool calling to support both structured parameter queries and unstructured content extraction. Plugins must adapt to the interface formats of different data sources. Data sources with differing update cycles require plugins to support custom cache expiration times, to avoid calling expired data. Structured fields include numeric types with composite units. Parameter validation for tool calling must adapt to the format requirements of multi-unit fields. Due diligence report documents for industrial parks are lengthy. Tool calling must support paginated content retrieval, to avoid exceeding context length limits with a single request.
Configuration Settings
The following table outlines recommended configuration values and their rationales:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
mcp_tool_param_type_strict | true | Industrial park data includes fields with clear types such as tax per mu and floor area ratio. Strict parameter type validation can avoid type mismatch errors |
tool_call_max_tokens | 8000–12000 tokens | Industrial park due diligence report documents are lengthy, adapting to the context requirements of long-text tool calling |
tool_call_stream_output | false | Due diligence report output requires complete presentation of tool calling results. Disabling stream output can avoid content truncation |
workflow_tool_knowledge_ref_enable | true | Combine park industry data from the knowledge base to supplement background information for tool calling |
tool_call_timeout | 300 seconds | Data sources for industrial parks are scattered, reserving sufficient time to complete multi-source data retrieval |
mcp_service_param_type_fix | Set based on actual measurement | Fixes the issue where type was fixed to string in version 4.9.6; adjust parameter type rules according to actual fields |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: A
param type mismatcherror is prompted when calling the MCP service, or the returned tax per mu field is a string type, or the returned tax per mu field is a non-numeric type. Cause: When deploying version 4.9.6, the parameter type validation rules of the MCP service were not adjusted. All parameters are forcibly fixed to the string type by default. - Phenomenon: Tool calling results are returned in streaming segments and cannot be directly spliced into a complete due diligence report text. Cause: The
tool_call_stream_outputconfiguration item was not set tofalse, and stream output mode is enabled by default. - Phenomenon: The tool calling module in the workflow does not trigger any external service requests, and no related log output is generated. Cause: The target service address for tool calling was not configured, or the access permissions for the plugin were not set correctly.
How to Confirm Proper Configuration
- Initiate a tool calling request for the list of settled enterprises in the park, and verify whether the types of returned parameters match expectations. For example, confirm that the tax per mu field is a numeric type, rather than a string or non-numeric type.
- Trigger a tool call, and check whether the output is a complete single segment of text with no segment truncation.
- Run the tool calling module in the workflow, and check whether the logs include relevant content about knowledge base recall, and whether the tool calling request was successfully sent.
- Check the running logs of the tool calling module, confirm that no timeout errors occurred, and that the request completed response within the preset timeout threshold.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.