Coal Chemical Industry Declaration Materials and File Review: Tool Calling and Plugins

Coal Chemical Industry Declaration Materials and File Review: Tool Calling and Plugins

What this category of data looks like

Data for coal chemical industry declaration materials and case files comes from project establishment applications, safety pre-evaluation reports, environmental acceptance materials, monthly production declaration reports, and archived files of central and state-owned coal chemical projects. Data sources include internal enterprise production ledgers and external government approval documents. Update rhythms include one-time bulk imports at project launch, and periodic updates on a monthly or quarterly basis. Each individual document includes fixed fields such as project number, enterprise name, device type, production capacity data, and approval document number. Common production capacity units are tons per year and cubic meters per hour. A single case file consists of multiple heterogeneous documents.

Constraints for Tool Calling and Plugin Workflows

The fixed fields and specialized unit requirements for coal chemical industry declaration materials require tool calling plugins to include built-in field verification rules. This prevents extracted production capacity values from mismatching preset units such as tons per year. The multi-heterogeneous file structure of case files requires plugins to support batch reading of documents in multiple formats including PDF and Excel ledgers, and uniformly output structured data. The periodic update rhythm requires tool data source configurations to support pulling the latest ledgers at fixed intervals, to align with monthly declaration business processes. Long-length environmental assessment materials require tool call context processing to adapt to long texts, avoiding truncation of key approval clauses.

Configuration Settings

Configuration ItemRecommended SettingRationale
toolChoiceautoAdapts to multi-tool calling scenarios, automatically matches tools for declaration material verification, database queries, and other tasks
functionCallenabledForces structured tool calls to ensure consistent format for extracted declaration fields
Data source synchronization cycle00:00 on the 1st of each monthMatches the fixed update rhythm of coal chemical industry monthly production declarations
Document parsing chunk length800–1200 charactersAdapts to segmented processing of long-length environmental assessment reports, avoiding truncation of key clauses
Error retry count3 timesAddresses occasional fluctuations in interfaces of central and state-owned enterprise approval systems

Reference only; verify against the target FastGPT release and deployment documentation.

Three Common Configuration Mistakes

  • Phenomenon: A "unit mismatch" error is returned when calling the field extraction tool. Manual review of the original text shows the production capacity value lacks a preset unit. Cause: No unit verification rule for coal chemical industry-specific fields is configured, leading to extraction results that do not meet business requirements.
  • Phenomenon: Execution fails when passing variables while calling the database tool. Manual execution of the associated SQL statement works normally. Cause: The project number from the declaration materials is not bound as a parameter to the variable position in the SQL statement, resulting in incorrect variable replacement.
  • Phenomenon: The database tool cannot be called in the workflow, and the connection status shows an exception. Cause: The coal chemical industry-specific data source configuration is not bound to the workflow node, preventing the tool from accessing the internal enterprise ledger database.

How to Verify Correct Configuration

  • Manually pass a sample of a single coal chemical industry declaration material, confirm that the tool-extracted project number and production capacity data match the original text.
  • Trigger a scheduled synchronization task, verify that the data source successfully pulls the latest ledger data.
  • Simulate occasional interface fluctuations, test that the tool call retry mechanism functions as expected.
  • Review tool call logs to confirm all field verification rules have been correctly applied.

The values provided are common starting points and should be evaluated against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.