Data Profile for This Category
Air pollution control-related data originates from three primary channels: public air quality monitoring data released by local ecological environment departments, self-built emission monitoring systems of enterprises, and industry compliance requirement documents. Real-time monitoring data updates minute-by-minute. Enterprise emission ledgers update monthly. Compliance documents update quarterly. Structured monitoring data includes fields such as monitoring location, monitoring time, pollutant type, and concentration value, with a unit of μg/m³. Compliance documents are sectioned structured PDFs containing clauses, applicable scenarios, and penalty standards. Marketing material metadata includes scene tags, target audience, and compliance basis information.
Constraints on Tool Calling and Plugins
Minute-level real-time monitoring data requires tool calling to support low-latency pulling. Cached data older than 5 minutes must not be used, otherwise marketing content displays outdated compliance information. The coexistence of structured and unstructured data requires tool calling to support both API pulling of structured monitoring data and document parsing plugins for processing compliance documents. Fields must comply with industry standards. For example, pollutant concentration must use μg/m³ as the unit. Unit validation logic must be configured for tool calling to avoid outputting incorrect data. Additionally, air pollution control data involves enterprise compliance information. Data access permissions must be configured for tool calling to prevent unauthorized access.
Configuration Specifications
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 180 seconds | The response delay of third-party monitoring APIs for air pollution control typically ranges from 1 to 2 minutes. 180 seconds covers normal pulling requirements and avoids tool call interruptions |
plugin_required_fields | pollutant_type, concentration_value, monitoring_time | Only extract fields necessary for marketing content to reduce invalid data and improve generation efficiency |
unit_validation_enabled | Enabled | Verify that the pollutant concentration unit is μg/m³ to ensure output data complies with industry specifications |
max_plugin_calls_per_run | First 4 calls | Balance the information richness of marketing content while avoiding frequent calls triggering third-party interface rate limits |
mcp_access_token | Permission token bound to the enterprise | Used to access enterprise-specific air pollution control monitoring data to ensure compliance with data access permissions |
The parameter values provided on this page are common recommendations for establishing configuration starting points. 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: Tool calling processes interrupt, with logs returning
504 Gateway Timeout. Cause: No reasonabletool_call_timeoutconfiguration is set. Third-party monitoring API response timeout causes tool calling processes to interrupt. - Phenomenon: Two separate thinking processes appear when debugging the tool call node. Cause: The trigger order between the tool calling and content generation nodes is not correctly configured. This leads the AI to trigger two thinking sessions (tool calling and content generation) sequentially, resulting in duplicate thinking steps.
- Phenomenon:
403 Forbiddenis returned when calling the MCP tool via API. Cause: Themcp_data_scopeparameter is not configured. Access exceeds the allowed scope of enterprise monitoring data, resulting in insufficient permissions.
How to Confirm Proper Configuration
- Trigger a tool call. Check if the returned result includes preset fields such as
pollutant_typeandconcentration_valueto confirm that the field extraction configuration is active. - Simulate a timeout scenario for a third-party monitoring API. Verify whether the
tool_call_timeoutconfiguration takes effect, confirming that the tool call completes within the set time. - View the access logs of the MCP tool. Confirm that only enterprise-specific air pollution control monitoring data is called, and the permission configuration is correct.
- Input a concentration value not using μg/m³ into the tool call node. Confirm that the system triggers a unit mismatch prompt to verify that the validation function is active.
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.