Tool Calling and Plugins for Coal Chemical Industry Yield Rates

What Data for This Category Looks Like

Coal chemical yield and market data comes primarily from three sources: coal industry monitoring platforms, public quotes from domestic commodity trading markets, and ex-factory public information from downstream coal chemical enterprises. Data uses two update schedules. Purchase prices for raw materials including thermal coal and coking coal update daily. Ex-factory quotes for downstream products such as coal-to-methanol and olefins update weekly. Processing cost data for niche categories updates less frequently. Each data entry includes these fields: raw material grade, purchase unit price, product ex-factory unit price, unit processing energy consumption, and unit transportation cost. Unit price is measured in yuan/ton. Energy consumption is measured in kg standard coal/ton product. No additional aggregate statistical fields are included.

Constraints on Tool Calling and Plugins

The periodic update schedule of coal chemical data requires specifying the target data source's update time range during tool calls. This prevents retrieval of expired information. Fields vary significantly across different categories. Plugins must support dynamic matching of raw material, product, and processing cost fields for corresponding categories. This avoids field mismatch errors. Unit price uses yuan/ton uniformly, but energy consumption uses kg standard coal/ton product. Plugins must include unit conversion logic to unify calculation standards. Niche category cost data updates infrequently. Tool calls must set data expiration verification rules to filter invalid data beyond the update cycle. Cross-data source splicing requires verifying regional consistency of raw materials and products. This ensures yield calculations are based on the same market environment.

Configuration Settings

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 targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

• Symptom: A 504 Gateway Timeout error is returned when calling a custom coal chemical data plugin. Cause: The tool_call_timeout parameter is not adjusted. The default timeout duration cannot cover the query time of cross-platform multi-source data.
• Symptom: The plugin returns empty yield calculation results. Cause: The region_filter_enable configuration is not enabled. Data from different regions for raw materials and products are spliced. Field matching fails to meet standards, leading to filter invalidation.
• Symptom: The model does not trigger the data reading tool, or incorrectly matches fields from unrelated categories. Cause: The field_matching_threshold and data_expire_days rules are not configured. The model cannot identify timeliness and matching degree of valid data, leading to decision bias.

How to Confirm Configuration Is Complete

• Enter the plugin debugging page, input regional and raw material parameters for coal chemical categories, check if returned interface fields match the configured matching rules.
• Simulate a tool call, check if the update time of returned data falls within the preset data_expire_days range.
• View tool call logs, confirm that the unit_convert_enable switch is active, and energy consumption and price units are unified.
• Test cross-regional parameter input, confirm that the region_filter_enable switch filters mismatched data sources.

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.