Tool Calling and Plugins for Condiment Financing Daily Reports

Data sources for condiment financing daily reports include public financing filing information monitored by the National Food Industry Association

What the data for this category looks like

Data sources for condiment financing daily reports include public financing filing information monitored by the National Food Industry Association, corporate investment and financing dynamics published by local commerce departments, and third-party industrial and commercial change announcements. Data is updated daily, with the previous day’s disclosed content synced at midnight each day. A standard daily report document uses structured table format, and includes seven core fields: financing entity name, affiliated condiment sub-category, financing amount, financing round, investor, disclosure date, and location. Financing amount units are ten thousand RMB. Financing round uses standard venture capital industry terms. Disclosure date uses the YYYY-MM-DD standard format.

What constraints these characteristics impose on tool calling and plugins

The structured table format of condiment financing daily reports requires tool calls to enable dedicated structured table parsing mode to support accurate extraction of multi-column fields. The daily update property requires scheduled trigger tasks to be set to run incremental pulls at daily midnight, to avoid resource waste from full synchronization. The core fields include sub-category and amount unit, so tool calls must add category filtering logic and automatically validate the financing amount unit format to ensure consistency of extracted data. The standardized date field requires tools to support YYYY-MM-DD format date parsing, to avoid empty fields or parsing errors caused by format deviations.

How to set the configurations

Configuration ItemRecommended ValueRationale
PARSE_DOC_TABLE_MODEStructured Table ExtractionAdapts to the standard table format of condiment financing daily reports to accurately extract multi-column core fields
SCHEDULER_CRON_EXPR0 0 0 * * *Matches the incremental pull requirement at daily midnight, avoids resource consumption from full synchronization
TOOL_FILTER_CONDITIONAffiliated condiment sub-category field is not emptyFilters financing entries from non-condiment entities to ensure the tool only processes data from target categories
PARSE_FIELD_UNIT_CHECKEnabledValidates the ten thousand RMB unit format of financing amounts to avoid extracting incorrect amount values
DATE_PARSE_PATTERNYYYY-MM-DDMatches the standard format of disclosure dates to improve parsing success rate for date fields
MAX_PARSE_RETRY_TIMES3 timesAddresses temporary document loading delays to improve overall parsing stability

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, and it is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Phenomenon: After switching to a non-Qwen series model, tool calls return the Tool call failed error. Cause: No model adaptation parameters for tool calls are configured, and some models do not support the request format for structured tool calls.
  • Phenomenon: Concurrent tool call execution occurs, leading to repeated pulling of the same financing data. Cause: No timestamp filtering condition for incremental pulls is configured, causing scheduled tasks to repeatedly trigger historical data.
  • Phenomenon: After calling the tool via API, the disclosure date field in the parsing result is empty. Cause: No correct date parsing format is configured, causing the date field to fail normal extraction.

How to confirm configurations are complete

  • Manually upload a standard condiment financing daily report sample, check if the core fields of the parsing result are complete, and confirm that the structured parsing mode is active.
  • Trigger a test scheduled task, check the task execution log, confirm that only financing data disclosed on the current day is pulled, with no repeated loading of historical data.
  • Test the tool call workflow with different models, confirm that no tool call-related error messages appear.
  • Check the field verification log, confirm that the unit format of financing amounts is normally verified, with no abnormal value extractions.

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.