What the Data for This Category Looks Like
Automated equipment data primarily comes from built-in sensors, PLC control systems, work order systems, and equipment ledger databases. For financial leasing scenarios, equipment data also includes lease contract fields. Real-time runtime data such as rotational speed, temperature, and current updates every second. Basic equipment ledgers such as model, serial number, and rated parameters sync monthly. Maintenance work orders and lease contracts are generated in real time alongside service nodes.
Each equipment document includes equipment identification fields, runtime parameter fields, maintenance record fields, and lease contract fields. The power unit is kW, runtime duration unit is hours, fault codes are unitless numeric codes, and ledger fields use a fixed standard structured format.
What Constraints These Characteristics Impose on Tool Calling and Plugins
The second-level updates of real-time runtime data require tool calling request intervals to not exceed 5 seconds. Otherwise, real-time updated equipment leasing marketing content cannot be generated for financial customers.
Structured fixed fields require the tool calling parameter schema to strictly match preset field names and units, to avoid data errors in generated marketing content due to field mismatches.
Multi-data source docking requirements demand that plugins support call permission configuration for sensor data interfaces, work order system APIs, ledger databases, and lease contract systems simultaneously. Differentiated settings must be made for timeout rules across different data sources.
Real-time generation of maintenance work orders and lease contracts requires tool calling response durations to align with the customer acquisition content update rhythm of financial customers, to avoid failure to generate marketing content in time due to timeout.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MCP_SERVICE_TIMEOUT | 120-180 seconds | Complex automated equipment maintenance transactions typically take longer than the default 90 seconds, to avoid transaction failure due to mid-process interruption |
TOOL_REQUEST_INTERVAL | 1-3 seconds | Matches the second-level update frequency of automated equipment real-time runtime data, balancing data timeliness and interface load |
SCHEMA_FIELD_STRICT_MODE | Enabled | Automated equipment data field structure is fixed; strict validation prevents data reading errors caused by mismatched field names or units |
PLUGIN_DATA_SOURCE_WHITELIST | Sensor interfaces, work order APIs, ledger databases, lease contract systems | Covers the four core data sources required for automated equipment marketing content generation: runtime, maintenance, basic information, and lease contract data |
TOOL_MAX_RETRIES | 2-3 times | Addresses temporary network fluctuations in sensor interfaces, improving tool calling success rates |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: When calling a custom MCP service to handle complex maintenance transactions, a timeout error is returned after running for more than 90 seconds, and the error log contains identifiers related to
MCP_TIMEOUT. Cause: TheMCP_SERVICE_TIMEOUTconfiguration item was not modified, and the system default 90-second timeout threshold was used, which cannot adapt to the processing duration of complex automated equipment transactions. - Phenomenon: Missing device data fields or incorrect units are returned by tool calls. Cause:
SCHEMA_FIELD_STRICT_MODEvalidation was not enabled, or the configured parameter schema did not match the actual field names and units of device data, resulting in abnormal data parsing. - Phenomenon: Call failures occur when using a locally privately deployed model to call the MCP service, with an error prompt containing model interface connectivity exceptions. Cause: The outbound port of the local model was not added to the plugin's whitelist configuration, or the model's API address and key were not correctly configured, causing the plugin to fail to call the model normally.
How to Verify Successful Configuration
- Initiate a tool call for real-time equipment runtime data, check whether returned field names and units match the preset schema, and adjust the validation rules of
SCHEMA_FIELD_STRICT_MODEbased on results. - Submit a test call for a complex maintenance transaction that exceeds 90 seconds, check whether the call can be completed normally, and adjust the value of
MCP_SERVICE_TIMEOUTbased on test results. - Check the plugin's data source whitelist configuration, confirm that sensor interfaces, work order APIs, ledger databases, and lease contract systems have all been added to the list, and initiate cross-data source joint calls to verify data integrity.
- View model call logs, confirm that the API address and key of the locally privately deployed model are configured correctly, and outbound traffic is not blocked, to verify connectivity between the model and the plugin.
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.