What Data for This Category Looks Like
Air pollution control-related financial report data comes primarily from enterprises’ annual and quarterly special environmental protection reports, public pollution discharge permit documents, public monitoring ledgers from ecological environment departments, and third-party compliance audit reports. Most data is updated annually with annual financial reports, while some quarterly emission reduction monitoring data is updated quarterly.
Document structures typically include modules such as pollutant emissions, governance facility investment, completion of emission reduction targets, and compliance rectification records. Core field units include tons (for pollutant emissions), ten thousand yuan (for governance equipment and operation and maintenance investment), and cubic meters per hour (for waste gas treatment air volume). Some fields need to be associated with financial statement subjects and environmental monitoring indicators.
What Constraints Do These Characteristics Impose on Tool Calling and Plugins
Because data sources are scattered, multiple types of MCP plugins must be called to pull environmental monitoring data and financially related data separately, and field alignment must be completed between plugins. Data with different update frequencies requires distinct calling frequencies: annual financial report data can be synchronized on a fixed cycle, while quarterly monitoring data needs to support real-time pulling.
Core fields have industry-specific units and naming rules, so plugins must include built-in field mapping and unit verification logic to avoid parsing errors. Additionally, air pollution control financial reports often require joint analysis across two data sources: financial and environmental protection. Tool calling must support cross-plugin data splicing, which places requirements on context transfer between plugins.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MCP_PLUGIN_TIMEOUT | 120 seconds | Air pollution control financial report analysis needs to pull multi-source cross-domain data. Single requests take a long time, and 120 seconds covers most conventional calling scenarios |
PARSE_DOC_FIELD_MAPPING | {"pollutant_emission":"tons","governance_investment":"ten thousand yuan","air_treatment_flow":"cubic meters per hour"} | Core fields for air pollution control financial reports have fixed units and naming rules. Pre-mapping ensures consistent formatting of plugin parsing results |
ANTV_CHART_PLUGIN_ENABLE | enabled | Financial report analysis requires visual display of structured data such as emission trends and investment proportions. The AntV plugin adapts to rendering requirements for this type of scenario |
API_REQUEST_RATE_LIMIT | 10 requests per minute | Some publicly available environmental protection data sources have access frequency limits. This value avoids triggering rate limit errors |
PLUGIN_RESPONSE_VALIDATOR | Validate based on required field completeness | Air pollution control data includes required items such as pollutant discharge volume and governance investment. Verification filters invalid returned results |
KNOWLEDGE_RECALL_SIMILARITY_THRESHOLD | 0.75–0.85 | Balances recall accuracy and coverage to adapt to professional term matching requirements for air pollution control financial reports |
The parameter values provided on this page are common recommendations for initial configuration. Actual values are influenced by material form, data volume and business rules. Specific issues require specific analysis. Testing on local samples is recommended before finalizing.
Three Common Misconfigurations
- The phenomenon is that API call results differ significantly from online chat, with higher accuracy in online chat. The cause is that the
KNOWLEDGE_RECALL_TOPKparameter is not configured correctly, or the bound knowledge base ID is not passed in, resulting in a recall range inconsistent with online chat. - The phenomenon is that only JSON code blocks are returned after calling the AntVChart MCP plugin, with no chart rendering. The cause is that the
ANTV_CHART_PLUGIN_ENABLEconfiguration item is not enabled, or the requirement to convert structured data into chart format is not clearly stated in the prompt. - The phenomenon is that the API call returns a
504 Gateway Timeouterror. The cause is thatMCP_PLUGIN_TIMEOUTis set too short, which cannot cover the time required for multi-source data pulling and splicing.
How to Verify Proper Configuration
- Enter the FastGPT plugin management page, check the switch status of
ANTV_CHART_PLUGIN_ENABLE, and confirm it is enabled. - Upload a sample air pollution control enterprise financial report, trigger tool calling, and check whether the returned results include structured data that conforms to the
PARSE_DOC_FIELD_MAPPINGconfiguration. - Call the test interface, pass in preset air pollution control analysis prompts, and compare the returned results of online chat and API calling to confirm that parameter configurations are consistent.
- Check the plugin calling logs, confirm that
MCP_PLUGIN_TIMEOUTdoes not trigger timeout errors, and that the field units of the returned results conform to preset rules.
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.