What the data for this category looks like
Data sources for steam coal financing daily reports include domestic coal transportation and sales industry monitoring institutions, main coastal port financing transaction ledgers, and futures delivery warehouse daily reports. The system updates complete data for the previous trading day at fixed daily times. Data is presented as structured tables, including fields such as trading date, delivery port, steam coal calorific value grade (such as Q5500, Q5000), financing transaction volume, financing amount, financing term, and fund provider type. Standard units apply: volume in tons, amount in ten thousand yuan, term in days, and calorific value marked in large calories per kilogram.
Constraints imposed by these characteristics on tool calling and plugins
Tool calling must support parallel pulling and integration across multiple data sources to handle aggregated multi-source data. Plugin trigger timing must match update windows to avoid pulling outdated unupdated data, aligned with the fixed daily update schedule. Tool calling must include a structured parsing switch and support filtering by fields such as calorific value and port to match the structured table and multi-field design. Plugins must include built-in unit verification and conversion logic to avoid mismatched input and output formats for multi-unit fields. Tool calling must limit the number of returned entries to adapt to context window capacity, given the limited transaction entries per daily report.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SCHEDULED_FETCH_INTERVAL | 86400 seconds | Matches the daily update schedule of steam coal financing daily reports, avoids repeated pulling of unupdated data |
STRUCTURED_PARSE_ENABLE | Enabled | Steam coal financing daily reports use structured table data. Enabling this allows direct extraction of specified fields for subsequent processing |
TARGET_HEAT_VALUE | Q5500,Q5000 | Covers calorific value grades of mainstream transactions, narrows returned data scope and improves tool calling efficiency |
UNIT_VALIDATION_SWITCH | Enabled | Multiple unit formats exist for fields such as financing amount and volume. Enabling verification avoids format errors |
MAX_RESPONSE_ENTRIES | Top 20 entries | Transaction entries per daily report typically do not exceed 30. Limiting returned entries avoids exceeding context window capacity |
FETCH_TIMEOUT | 600 seconds | Multi-data source aggregated pulling requires longer time. Setting a reasonable timeout avoids request interruptions |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Tool calling returns empty fields. Cause: The
TARGET_HEAT_VALUEparameter is not configured, pulling full unfiltered financing data which is truncated after exceeding the context window, resulting in lost fields. - Symptom: A 408 request timeout error is returned after triggering tool calling. Cause: The
FETCH_TIMEOUTparameter is not adjusted, using the default short timeout value which cannot complete multi-data source aggregated pulling. - Symptom: The tool cannot respond to parameter modification requests from interaction nodes. Cause: The
STRUCTURED_PARSE_ENABLEconfiguration is not enabled, so the tool cannot parse modifiable fields in structured data and cannot receive interaction parameters.
How to Confirm Correct Configuration
- Manually trigger tool calling, confirm returned data fields include preset target fields to verify structured parsing is active.
- Check tool calling logs, confirm data pull time matches previous trading day update time to verify scheduled pull configuration is correct.
- Adjust parameter filtering rules, confirm returned data only includes preset calorific value grades to verify field filtering configuration is active.
- Simulate interaction parameter modification requests, confirm the tool can receive and apply modified parameters to verify interaction node configuration is correct.
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.