What Data for This Category Looks Like
Data sources for aquaculture financing daily reports include financing filing records for aquaculture entities from local fishery authorities, lending records of aquaculture loans from partner banks, and daily market reference prices from the National Fisheries Technology Extension Station.
Data receives daily updates. Each daily report document contains one or more aquaculture entity financing records. Core fields include:
- Entity name
- Aquaculture category (e.g., Litopenaeus vannamei, grass carp)
- Financing amount (unit: ten thousand yuan)
- Financing term (unit: month)
- Corresponding breeding scale (unit: mu)
- Daily market reference price for the corresponding category (unit: yuan/kg)
- Loan disbursement date
Document formats primarily use structured CSV or JSON. Some regions provide summary reports in PDF format.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
Daily updated data sources require tools to set fixed periodic triggers. This avoids duplicate data requests or interface rate limiting.
The need to associate multi-source data requires plugins to connect three independent data sources: fishery authorities, banks, and aquatic product trading markets. Plugins must handle cross-source data field alignment and unit conversion.
Mixed structured and unstructured document formats require tools to support both API pulling of structured data and PDF parsing of unstructured content.
Dispersed aquaculture entity data carries a risk of missing fields. Plugins must configure required field validation rules to prevent invalid data from flowing into subsequent processes.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 10 MB | Aquaculture financing-related qualification documents, such as pond survey maps and breeding certificate scans, typically do not exceed 10 MB |
TOOL_CALL_TIMEOUT | 300 seconds | Pulling financing filing, bank lending, and market price data across multiple sources requires sufficient request response time |
SCHEDULED_TRIGGER_INTERVAL | 86400 seconds | Matches the daily update frequency of financing daily reports to avoid repeatedly pulling old data |
MCP_TOOL_VALIDATE_RULE | ["required:breed_type,amount,market_price"] | Ensure that daily reports include core fields: aquaculture category, financing amount, and market reference price |
WORKFLOW_UPLOAD_ALLOW_VAR | false | Aquaculture financing upload files are usually stored in fixed cloud links, so dynamic variable references are not needed |
PARSE_FIELD_UNIT_CONVERT | 10k yuan → yuan, mu → square meters | Unify unit expressions within reports to adapt to the standardized field format requirements of downstream systems |
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 on-site analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: Calling the MCP tool returns
400 Bad Request, and the core fieldbreed_typein the response body is empty. Cause: TheMCP_TOOL_VALIDATE_RULErequired field validation is not configured, so missing aquaculture category fields are not intercepted. - Issue: API calls time out and return
504 Gateway Timeout. Business logs show that the total time to pull cross-source data exceeds the preset threshold. Cause: TheTOOL_CALL_TIMEOUTconfiguration was not modified, and the default short timeout setting was retained. - Issue: Upload file parameters in custom workflows cannot bind dynamic variables, and only static link addresses can be filled in. Cause:
WORKFLOW_UPLOAD_ALLOW_VARis set tofalse, and variable reference support is not enabled.
How to Confirm Configuration Is Complete
- Initiate a manual tool call, and check whether the returned results include all configured required fields, and that field units match the preset conversion rules.
- Upload an aquaculture qualification file larger than the default upload limit to confirm that the upload process is not truncated and the parsed content is complete.
- Modify the scheduled trigger interval to verify that the tool automatically executes the pull task according to the new cycle.
- Pass test data with missing core fields to confirm that the tool triggers error interception for missing fields.
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.