Tool Calling and Plugins for Coal Chemical Industry

What the data for this category looks like

Data for coal chemical industry financing daily reports comes primarily from industry monitoring platforms, public project filing information from energy regulatory authorities, and credit disclosure announcements from financial institutions. Data is updated daily. Some cross-regional joint financing projects are released on the next business day. Documentation uses structured tables as its core, with brief descriptions of corresponding financing projects attached. Core fields include full financing entity name, financing amount (unit: ten thousand RMB), financing method, type of coal chemical sub-project targeted by funds, cooperating financial institutions, approval date, and actual fund arrival date. Some entries also note the designed production capacity of the corresponding project (unit: ten thousand tons per year).

Constraints on tool calling and plugins

The characteristics of coal chemical industry financing daily reports create multiple constraints for tool calling and plugin workflows. The daily update requirement means plugins must be configured with scheduled pull tasks. Cache expiration time must be set to no more than 24 hours to avoid returning outdated data. The documentation format centered on structured tables requires plugins to enable structured parsing mode, prioritize table structure parsing, and adapt to plain text supplementary content. Content with multiple fields and units requires plugins to configure field mapping rules, accurately extract fields with units such as financing amount and designed production capacity, and verify matching between values and units. Some entries have delayed or null fields. Default filling logic must be configured to prevent incomplete results from tool calls.

Configuration settings

Configuration Item	Recommended Value	Rationale
`plugin_cache_ttl`	`86400 seconds`	Coal chemical industry financing daily reports are updated daily. Setting cache expiration time to no more than 24 hours prevents returning outdated data
`parse_table_enable`	`Enabled`	Documentation centers on structured tables. Prioritizing table structure parsing enables accurate field extraction
`plugin_field_mapping`	`Map 5 core fields: financing entity, financing amount, financing method, project type, approval date. Verify that financing amount unit is "ten thousand RMB" and production capacity unit is "ten thousand tons per year"`	Core fields are clearly defined with units. Accurate extraction and format matching verification are required
`plugin_timeout`	`30 seconds`	Data sources are mostly public and stable platforms. A 30-second timeout covers most pull and parsing scenarios
`null_field_policy`	`Keep null values and mark "Pending Update"`	Some cross-regional joint financing projects have delayed released fields. Keeping null values avoids misjudging data as missing
`plugin_keyword_filter`	`Only retain entries containing the keywords "coal-based" and "coal chemical"`	Financing data must be filtered to the coal chemical category, excluding unrelated entries from other industries

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

Three common configuration mistakes

Scenario: After configuring a custom coal chemical industry financing daily report plugin, the model never triggers a call, and no tool call request records appear in backend logs. Cause: The plugin_auto_trigger configuration item is not enabled, or the system prompt does not explicitly specify using this plugin to process financing daily report-related queries.
Scenario: Tool return results include financing entries from non-coal chemical industries, which do not meet category requirements. Cause: The plugin_keyword_filter filtering rule is not configured, or the filtering keywords do not cover category-specific identifiers such as "coal-based" and "coal chemical".
Scenario: A 400 Bad Request error is returned when calling the plugin, and the extracted financing amount field value does not match the actual value. Cause: The plugin_field_mapping configuration does not include unit verification rules, causing values with other units to be mistakenly identified as financing amounts.

How to verify proper configuration

Navigate to the FastGPT plugin management page, check the value of the plugin_cache_ttl configuration item, and confirm it matches the business update rhythm.
Upload an example document of coal chemical industry financing daily reports, trigger a tool call, and verify that the returned results only include financing entries from the coal chemical category.
Check the plugin call logs, confirm that the timeout time for each call matches the plugin_timeout setting, and that field extraction results align with the configured mapping rules.
Simulate test data containing delayed fields, verify that null fields are processed according to the null_field_policy configuration.

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.