Tool Calling and Plugins for Crop Farming Industry Research

What the data for this category looks like

Crop farming industry research report data primarily comes from public reports published by affiliated institutions of the Ministry of Agriculture and Rural Affairs, the Agricultural Information Institute of the Chinese Academy of Agricultural Sciences, local agricultural and rural bureaus, and industry associations, as well as customized content from third-party agricultural data service providers. Update frequency follows a monthly routine, with temporary additional updates when policies are issued or major climate events occur. Document structure typically includes core data sections, price trend analysis, policy interpretations, risk warnings and other modules. Fields include crop name, planting region, yield, price, time cycle and more. Units include kilograms per hectare, ten thousand tons, yuan per kilogram and others. Some cross-region research reports include regional conversion parameters.

What constraints these characteristics impose on tool calling and plugins

Multiple data sources lead to inconsistent field naming and units. Field mapping rules must be configured during tool calling to adapt to output formats from different data sources. Monthly or quarterly update cycles require scheduled synchronization tasks for tool calling to match this cycle, avoiding excessive requests or data lag. The relatively long text length of individual research reports requires the parsing and context processing steps of tool calling to adapt to long text segmentation rules, preventing truncation of critical data. The specificity of professional fields and units requires built-in unit conversion logic during tool calling to ensure comparative analysis of data across sources.

How to set the configurations

Configuration Item	Recommended Value	Rationale
`recall count`	Top 8-12 entries	Crop farming research reports cover multiple dimensions such as planting area, yield per unit, supply and demand. Too many recalled entries will exceed the context window, while too few will fail to cover complete analytical logic
`PARSE_FILE_TIMEOUT_SECONDS`	600 seconds	Individual crop farming research reports have long text lengths and contain a large number of agricultural professional terms that require parsing, so the timeout period must be extended
`recall similarity threshold`	0.75-0.85	The standardization of crop farming data fields is relatively low, so the threshold must be relaxed to cover more relevant research reports while avoiding mixing in irrelevant content
`WORKFLOW_CALL_TIMEOUT`	900 seconds	Cross-workflow calls require longer timeout periods to accommodate the relatively long time required for batch data processing of crop farming research reports
`MCP_TOOL_EXPORT_DIR`	Local specified directory (e.g. `/opt/fastgpt/mcp-tools`)	Adapt to tool export requirements for local deployments, facilitating subsequent custom modification and calling
`API_REQUEST_TIMEOUT`	120 seconds	Agricultural data third-party interfaces may have slow response times, so request timeout periods must be extended

The parameter values provided on this page are all conventional 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, and it is recommended to test on your own samples before finalizing settings.

Three common mistakes

Attempting to export an MCP tool results in no local file being generated. This occurs because the MCP_TOOL_EXPORT_DIR parameter is not correctly configured, or the directory has insufficient permissions.
Workflow A calls Workflow B but only partial steps are executed. This occurs because the active call trigger mode is not configured in Workflow B, and complete input and output parameter mappings are not set.
Calling a third-party agricultural data interface returns the Error: write EPROT error. This occurs because the HTTPS certificate trust for the corresponding interface is not added in the FastGPT configuration, or authentication parameters are not correctly carried in the request header.

How to confirm the configuration is correct

Upload a single crop farming research report, check if the parsed text fields are complete, and verify that the PARSE_FILE_TIMEOUT_SECONDS configuration takes effect.
Initiate an MCP tool export operation, check if the corresponding JSON file is generated in the specified directory, and verify the MCP_TOOL_EXPORT_DIR configuration.
Trigger a cross-workflow call, check if the execution log of Workflow B shows complete steps, and verify the WORKFLOW_CALL_TIMEOUT configuration.
Call a third-party agricultural data interface, check if the returned results include expected crop farming data fields, and verify the API_REQUEST_TIMEOUT configuration.

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.