Tool Calling and Plugins for Thermal Coal Research Report

What the Data for This Category Looks Like

Thermal coal research report data primarily comes from public reports on commodity information platforms, securities firm research institutes, and industry associations. There are two update schedules. Industry supply and demand and price data are updated daily. Securities firm research reports are released as research progresses, with no fixed frequency.

The document structure includes core viewpoints, supply and demand balance sheets, port/production site prices (unit: yuan per ton), calorific value indicators (unit: large calories per kilogram), inventory data (unit: ten thousand tons), policy interpretation, and risk warning modules. Some research reports include historical price trend charts.

What Constraints Do These Data Characteristics Impose on Tool Calling and Plugins

Thermal coal research report data characteristics impose three constraints on tool calling and plugins. First, daily updated industry price and inventory data require the tool calling cache validity period to match the update cycle, to avoid returning outdated information. Second, exclusive fields such as calorific value, ton price, and inventory must be clearly bound in tool parameters, to avoid confusion with other commodity fields and reduce retrieval accuracy issues. Third, some research reports include structured data tables. Tool calling must support parsing structured content, while also compatible with plain text extraction logic, to adapt to research report sources in different formats.

Configuration Settings

Configuration Item	Recommended Setting	Rationale
`tool_cache_ttl`	`86400 seconds`	Thermal coal industry supply and demand, price data are updated daily. Match cache validity period to the update cycle to avoid returning outdated information
`tool_field_mapping`	Bind calorific value, ton price, and inventory fields to corresponding data interfaces	Thermal coal research reports have exclusive units and field names, which must be distinguished from general commodity fields to improve retrieval accuracy
`tool_trigger_mode`	`Dual mode: on-demand trigger + scheduled pull`	Securities firm research reports have no fixed release cycle. On-demand trigger can obtain the latest reports, while scheduled pull can supplement industry data updates
`parse_table_enable`	`Enabled`	Some thermal coal research reports include structured supply and demand tables. Enabling this option can extract complete structured data
`tool_request_timeout`	`300 seconds`	Pulling multi-source research report data requires sufficient request time to avoid interrupted calls due to timeout
`max_tool_return_items`	`Top 10 items`	The volume of thermal coal research report data is moderate. Returning too many items increases context load, while returning too few items fails to cover core information

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

Three Common Misconfigurations

Phenomenon: After a tool call completes, the returned results include full interface return logs, which does not match expected behavior. Cause: The tool_result_hide parameter is not configured correctly, or the result hiding rule is not set in the tool node.
Phenomenon: After sending a termination command to an active MCP server tool, the tool continues to run without interrupting. Cause: The interrupt_support parameter is not enabled in the tool configuration, or the termination command does not include the correct task identifier.
Phenomenon: Intermittent interrupted output occurs when the model calls a tool, and the returned results are incomplete. Cause: The tool_request_timeout setting is too short, or concurrent requests exceed interface limits when pulling multi-source data, leading to partial requests timing out and being truncated.

How to Verify Proper Configuration

Initiate a tool call, check if the returned result fields include thermal coal-specific indicators such as calorific value, ton price, and inventory, to confirm that the field mapping configuration takes effect.
View the tool calling log, confirm that the cache validity period matches the set tool_cache_ttl parameter, and that the time difference between the update time of the returned data and the current time is within a reasonable range.
Send a termination command to a running tool task, check if the task stops immediately, to confirm that the interrupt configuration takes effect.
Call research report data that includes structured tables, check if the returned results include structured content parsed from tables, to confirm that the parse_table_enable configuration takes effect.

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.