FastGPT v4.17.0 adapts to the configuration rules on this page.
What This Category’s Data Looks Like
Inquiry data for medical product distribution comes primarily from drug traceability systems, enterprise purchase-sales-stock ledgers, and drug registration and filing platforms. Data updates follow two rhythms. Drug approval documents are updated per annual registration cycles. Inventory and delivery data are synced daily after business closes. Individual data documents include these fields: generic drug name, trade name, approval number, manufacturer name, circulation batch number, inventory quantity, expiration date, and delivery outlet address. Most field units are box, vial, tablet, batch number, and date format.
Constraints Imposed on Tool Calling and Plugin Workflows
Unique drug approval numbers require precise field matching during tool calls. Do not rely on fuzzy retrieval. Time-sensitive expiration date fields require real-time time range validation during plugin calls. This prevents returning expired drug information. The real-time nature of purchase-sales-stock data requires tool call interface timeout settings to match internal enterprise system response delays. High demand for multi-field combined queries requires plugins to support passing parameters such as approval numbers and delivery outlets at the same time. This enables precise retrieval.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Tool call trigger condition | Trigger by inquiry keywords | Most medical product distribution inquiries focus on drug circulation and qualification queries. Keyword matching provides more precise results. |
| Single tool call return count | Top 3 entries | Avoid returning excessive expired or non-circulation range drug data |
| Interface timeout duration | 600 seconds | Match response delays of internal enterprise purchase-sales-stock systems |
toolChoice | auto | Allow large models to independently determine whether to call tools to handle inquiries |
functionCall | Enable multi-parameter linkage | Support passing approval numbers and delivery outlets for precise queries |
| Maximum context length | 800–1200 characters | Adapt to the large number of fields in medical product distribution data. Prevent truncation of critical information |
Three Common Configuration Errors
- Phenomenon: When configuring MCP plugins, HTTP response input parameter variables cannot be bound to tool call parameters. Cause: Input parameter validation rules are not defined according to the exclusive field format of medical product distribution data, such as 16-digit approval number rules. This leads to variable matching failures.
- Phenomenon: Large models do not trigger tool calls when processing medical product distribution inquiries. Cause: Tool trigger keywords do not cover high-frequency inquiry terms for detailed scenarios like drug circulation and qualification queries, or
toolChoiceis configured to fixed mode. - Phenomenon: Routing logic between tool calls and knowledge base queries in workflows fails. Inquiries are incorrectly assigned to mismatched links. Cause: Exclusive routing rules are not configured for medical product distribution's exclusive inquiry types, such as drug trace code queries. This leads to incorrect matching by general routing rules.
How to Confirm Proper Configuration
- Initiate a test inquiry that includes a drug approval number. Check if the tool call log matches the preset trigger conditions.
- Check the MCP plugin's input parameter validation rules. Confirm if they cover the exclusive field formats of medical product distribution data.
- Verify that the data returned by tool calls includes necessary fields for medical product distribution scenarios, such as expiration date and delivery outlet addresses.
- Adjust the trigger keywords, then initiate a test inquiry. Confirm that the tool call trigger timing meets expectations.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.