Tool Calling and Plugins for Agrochemical Product Marketing

Data Characteristics of This Category

Core data for agrochemical products comes primarily from publicly registered information released by the Ministry of Agriculture and Rural Affairs Pesticide Inspection Institute, official product manuals from manufacturers, and product pages on compliant agricultural input trading platforms. Two data update cycles exist: official registered data is updated quarterly, while new manufacturer products and revised documents are released irregularly alongside product iterations. A single product document typically includes fields such as active ingredient identification, applicable crop range, application rate standard, pre-harvest interval, and shelf life. Active ingredient content is measured in grams per liter. Application rate is measured in kilograms per mu or milliliters per mu. Most document structures combine parameter tables and scenario description text.

Constraints Imposed on Tool Calling and Plugins

The data characteristics of agrochemical products create multi-dimensional constraints for tool calling and plugins. The quarterly update cycle of official registered data requires that tool data source cache duration does not exceed 90 days, to prevent return of expired registration numbers or application rate standards. Different manufacturers use varying application rates and active ingredient identification units. Plugins must include built-in standardized unit conversion logic to support display needs across multiple marketing content scenarios. Single product documents can be lengthy. Reasonable segment interception thresholds must be set during tool calling to avoid single requests exceeding context limits. Agricultural input data has strict compliance requirements. Plugins must include built-in source whitelist verification rules, only allowing calls to officially registered data sources.

Configuration Settings

Configuration Item	Recommended Setting	Rationale
`plugin_cache_ttl`	`75 days`	Matches the quarterly update cycle of official agrochemical registration data, preventing the return of expired registration numbers or application rate standards
`request_timeout`	`30 seconds`	Adapts to the response speed of official agricultural input data sources, allowing sufficient time to retrieve lengthy product document content
`max_paragraph_length`	`800–1200 characters`	Adapts to the typical paragraph length of agrochemical product documents, preventing a single request from exceeding context window limits
`allowed_url_patterns`	Only allow domains of the Ministry of Agriculture and Rural Affairs Pesticide Inspection Institute and official manufacturer domains	Meets compliance requirements for agricultural input data, filtering unregistered third-party data sources
`unit_conversion_enabled`	Enabled	Adapts to unit differences in application rates and active ingredient identification across different manufacturers, standardizing values for marketing content generation
`plugin_available_models`	Include all model versions that support online inference	Covers actual user call requirements, adapting to models such as o1-preview that require separate permission configuration

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 Misconfigurations

The symptom is that only a brief summary is returned after calling the search plugin, and full target webpage content cannot be obtained. The cause is that the max_paragraph_length parameter is not configured, or its value is set below 800 characters. This causes the tool to only grab preset summary fields and not trigger full webpage content retrieval logic.
The symptom is that only a small number of optional models are displayed in the tool calling interface, and all supported model versions cannot be selected. The cause is that the plugin_available_models parameter is not configured correctly, with only partial models added to the whitelist and no coverage of all models supporting online inference.
The symptom is that a 502 error is returned when calling an agricultural input data source via the HTTP plugin, while the call flow operates normally in APIFOX. The cause is that request headers are not set correctly, or the target data source is not added to the allowed_url_patterns whitelist, causing the FastGPT plugin to block compliant requests.

How to Confirm Proper Configuration

A test call to an official registered data source may be initiated. Returned fields such as registration numbers and application rates are checked against currently public information, and cache duration is verified against update cycle requirements.
The model list in the tool calling interface is reviewed to confirm inclusion of all required model versions, and the configuration scope of the plugin_available_models parameter is checked.
A test request containing application rate parameters with different units is constructed. The plugin’s automatic unit conversion is verified, and the unit_conversion_enabled switch setting is confirmed.
A call to a non-registered domain data source is simulated. Plugin request blocking is checked to confirm that the allowed_url_patterns configuration takes effect.

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.