What the Data for This Category Looks Like
Metallurgical coal financial report data primarily comes from listed companies’ periodic reports, Dalian Commodity Exchange public delivery data, and industry association monthly monitoring reports. Update cycles fall into two categories: listed company financial reports are disclosed quarterly and annually, while industry monitoring data is updated weekly or monthly. Document structures include core fields such as metallurgical coal output, sales volume, tax-included average price, port inventory, and import and export volume. Some reports also provide segmented data for grades including main metallurgical coal and 1/3 metallurgical coal. Common units are tons, yuan per ton, and ten thousand tons.
Constraints on Tool Calling and Plugin Configuration
The multi-source data, segmented fields, and differentiated update cycles of metallurgical coal financial reports impose multiple constraints on tool calling and plugin configuration. Interfaces for three types of data sources must be connected separately: listed company financial report parsing, exchange delivery data, and industry monitoring reports. Some interfaces require dedicated signature verification rules to be configured. Segmented grade fields require plugins to support parameterized filtering to accurately retrieve specific data for the target category. High-frequency weekly industry data requires adjusting the plugin’s scheduled call frequency to avoid triggering interface rate limits. Batch financial report retrieval requires configuring pagination parameters to prevent request overload. Differences in units across data sources require plugins to include built-in unit conversion logic to unify output formats.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_request_timeout | 300 seconds | Interfaces for metallurgical coal financial report data sources typically respond within 2 minutes. This duration covers most normal requests and avoids invalid resource occupation |
plugin_max_concurrent | 2–4 | Most metallurgical coal industry data interfaces have a rate limit of fewer than 10 requests per minute. Excessive concurrency may trigger rate limit interception |
structured_parse_field_whitelist | ["产量", "含税均价", "港口库存", "主焦煤占比"] | The core fields for metallurgical coal financial report analysis are limited. A whitelist filters non-essential data and improves parsing efficiency |
api_sign_type | HMAC-SHA256 | Public data interfaces from domestic coal industry associations and futures exchanges mostly use this signature verification rule, which adapts to most mainstream data sources |
plugin_cron_interval | 86400 seconds (quarterly financial reports), 604800 seconds (weekly industry data) | Matches the update cycles of different data sources to avoid repeated calls or missing the latest data |
max_plugin_return_items | Top 15 items | Metallurgical coal financial report analysis does not require redundant data. Limiting the number of returned items reduces subsequent processing overhead |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: A third-party library missing error is thrown when calling the plugin via code, preventing execution of metallurgical coal data calculation scripts. Cause: Data analysis dependency libraries such as pandas and matplotlib were not added to the plugin configuration. The default runtime environment only includes basic Python components.
- Issue: The MCP tool fails to pass metallurgical coal grade filtering parameters, returning full unsegmented data. Cause: Parameter passthrough rules were not configured, and user-input parameters for main metallurgical coal or 1/3 metallurgical coal were not correctly bound to the interface request path.
- Issue: Scheduled retrieval of metallurgical coal industry data returns a 429 status code, triggering interface rate limits. Cause: The
plugin_max_concurrentparameter was not adjusted, and the number of concurrent requests exceeded the rate limit threshold published by the data source.
How to Confirm Proper Configuration
- Submit a test request with metallurgical coal grade filtering parameters, and verify that the returned data includes the specified segmented fields to confirm the parameter passthrough configuration is active.
- View plugin runtime logs to confirm that third-party dependency libraries have been successfully loaded and the code execution script has no errors.
- Simulate concurrent requests and verify that the interface returns no 429 rate limit prompts to confirm the concurrency configuration meets the data source requirements.
- Check scheduled task execution records to confirm that calls are triggered according to the preset cycle, with no duplicate or missing requests.
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.