What the data for this category looks like
The data used for general equipment intelligent due diligence reports mainly comes from publicly available compliant documents from industry associations, factory quality inspection reports from equipment manufacturers, on-site operation and maintenance logs, and test documents issued by third-party quality inspection institutions. Data update frequency follows two patterns: industry benchmark data is updated monthly, and real-time operation and maintenance data for individual devices is synced daily. The structure of each due diligence document is fixed, with five modules: basic device information, core parameters, maintenance cycles, operation data, and compliance test results. Core parameter fields include rated power, maximum load capacity, operating speed, and others, with corresponding units of kW, t, and r/min respectively.
What constraints these characteristics impose on tool invocation and plugins
The multi-source heterogeneous data structure of general equipment requires tool invocation plugins to support cross-data-source data pulling, and to adapt to input from data sources in different formats such as factory documents and operation and maintenance logs. Fixed unitized parameter fields require plugins to enforce matching corresponding units during the parameter verification phase, to prevent non-standardized values from being passed. Monthly updated industry benchmark data requires plugins to be configured with scheduled synchronization tasks, to ensure the timeliness of benchmark data used by due diligence reports. Each due diligence document has a considerable length, so tool invocation needs to support segmented parsing and batch parameter extraction, to avoid exceeding context length limits in a single invocation.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MCP_REQUEST_TIMEOUT | 120 seconds | General equipment due diligence requires pulling multi-source heterogeneous data. A single request needs to cover multiple types of data including manufacturer documents and operation and maintenance logs, adapting to the conventional cross-source data pulling duration for version 4.9.6 |
TOOL_CALL_BATCH_SIZE | 3-5 entries | Each general equipment due diligence document contains multiple sets of core parameters. Batch calling 3-5 tools balances extraction efficiency and context occupancy |
PARAMETER_VALIDATION_STRICTNESS | Strict mode | General equipment parameters have fixed units and value ranges. Strict mode can automatically verify unit matching and numerical rationality |
STREAM_TOOL_OUTPUT | Disabled | Due diligence reports require complete output of parameter verification and data extraction results. Stream output will interrupt the complete report generation logic |
WORKFLOW_TOOL_KNOWLEDGE_REFERENCE | Enabled | Tool invocation needs to combine compliance standards from the device knowledge base. When enabled, it can automatically associate parameter thresholds for the corresponding category |
TOOL_INVOCATION_RETRY_TIMES | 2 retries | Multi-source data pulling may experience temporary network fluctuations. 2 retries can reduce the probability of single invocation failure |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to conduct actual tests on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Numeric parameters passed during MCP service calls are forcibly converted to string types, and unit mismatch errors appear in return results. Cause: The parameter type was not explicitly declared in the tool configuration, and forced string conversion logic is enabled by default in version 4.9.6.
- Phenomenon: Tool invocation results are output in stream segments, making it impossible to generate a complete due diligence report. Cause: The
STREAM_TOOL_OUTPUTconfiguration item was not disabled, causing results to be returned in multiple segments. - Phenomenon: After the tool invocation module in a workflow connects to the knowledge base, the content returned by the knowledge base cannot be referenced in subsequent nodes. Cause: The
WORKFLOW_TOOL_KNOWLEDGE_REFERENCEconfiguration item was not enabled, causing tool invocation results to not be synchronized to workflow context variables.
How to Confirm the Configuration Is Correct
- Execute a tool invocation test for a single general equipment device, and check whether the units and field types of the returned parameters meet the preset configuration requirements.
- View the tool invocation logs, confirm that the MCP request timeout value matches the configured setting, and there are no frequent timeout retries.
- Test the linkage between tool invocation and the knowledge base in the workflow, and confirm that subsequent nodes can normally reference the parameter data returned by the tool.
- Trigger a tool invocation task, and check whether a complete non-streaming output result is generated with no segmented truncation.
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.