Tool Calling and Plugins for Livestock and Poultry Farming

What the Data for This Category Looks Like

Data sources for livestock and poultry farming research reports include public monitoring data from the Ministry of Agriculture and Rural Affairs Animal Husbandry and Veterinary Bureau, monthly monitoring reports from industry associations, research reports from securities firm agriculture, forestry and animal husbandry research teams, and public survey announcements from breeding enterprises. Update cycles fall into two categories: regular and temporary trigger. Regular reports are primarily released on a monthly or weekly basis. Special temporary reports are generated during outbreaks of animal diseases or adjustments to industry policies. Document structures typically include core indicator tables, market analysis, future outlook, and policy interpretation modules. Fields cover numerical indicators such as inventory volume, average selling price per unit, and feed price, as well as non-numerical content like disease status and policy changes. Units for numerical indicators include ten thousand heads, yuan per kilogram, yuan per ton, and others.

What Constraints These Characteristics Impose on Tool Calling and Plugins

Data sources for livestock and poultry farming research reports are scattered. Tool plugins must support multi-data source authentication configuration. Different data sources have large differences in update cycles. Custom scheduled pull rules must be supported to match the release rhythm of different reports. Research reports contain large amounts of structured table data. Tool calling must support structured parsing, not limited to extracting only plain text fragments, to accurately extract core indicators. Field units have diverse expressions. Unit standardization processing must be supported to avoid confusion in data caliber. Some data sources have access frequency limits. Reasonable retry and current limiting rules must be configured to prevent interface bans.

Configuration Recommendations

Configuration Item	Recommended Value	Rationale
`toolCallTimeout`	`120 seconds`	Interface response delays for livestock and poultry farming-related data sources typically range from 60 to 90 seconds. Reserved buffer time prevents timeout failures
`apiCollectionMaxRetries`	`3 retries`	Most industry data source interfaces have temporary fluctuations. Retries reduce the failure rate of single calls
`structuredParseEnabled`	`Enabled`	Livestock and poultry farming research reports contain large amounts of structured data tables. Enabling this option accurately extracts core fields, rather than limiting extraction to plain text fragments
`fieldUnitStandardization`	`Enabled`	Multiple unit expressions exist for the same indicator in research reports. Standardization processing unifies data caliber
`cronExpression`	`0 0 1 * * 1`	Most industry monitoring weekly reports are released on Sunday evening. This expression pulls the latest data at 1:00 AM every Monday
`requestHeaderAuthType`	`Bearer Token`	Most paid research report data sources use this authentication method, adhering to mainstream API authentication specifications

The parameter values provided on this page are general recommendations used as a starting point 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 Configuration Mistakes

Phenomenon: Calling the apiCollection interface returns Invalid URL, code: 500. Cause: The complete API path of the data source is not configured correctly, or the path contains unescaped special characters, causing the interface request to fail to parse correctly.
Phenomenon: The tool call node outputs redundant AI natural language replies. Cause: The toolCallReturnNaturalLanguage parameter is not disabled, causing the system to automatically convert the original interface results into natural language text.
Phenomenon: The HTTP toolset cannot connect to the Oracle database and pull research report-related data. Cause: The corresponding database driver plugin is not installed, or the correct database connection string and authentication information are not configured.

How to Confirm Proper Configuration

Manually trigger a tool call, check if the returned results include the expected core livestock and poultry farming fields, such as inventory volume, average selling price per unit, and others.
View the tool call log, confirm that the interface request URL, authentication information and configuration items match, and there are no Invalid URL type errors.
Verify the trigger time of the scheduled task, confirm that it matches the actual update rhythm of the data source.
Compare the field extraction effect when structuredParseEnabled is enabled and disabled, to confirm that the structured parsing function operates correctly.

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.