What the data for this category looks like
Data sources for loan backlog data include three categories: credit core systems, payment gateways, and collection management systems. Update cadence falls into two categories: real-time updates and T+1 batch updates. Repayment and overdue statuses are updated in real time. Monthly summary ledgers are generated via T+1 batch updates. Single ledger document structure includes six core fields: customer unique identifier, contract number, current due amount, actual repayment amount, overdue days, and collection status. Amount fields use yuan as the unit. Overdue day fields use days as the unit. Collection status uses fixed enum values.
What constraints these characteristics impose on the "tool calling and plugins" workflow
Loan backlog data sources are scattered. This requires tool calling to connect multiple independent MCP service endpoints, to avoid missing full data with a single call. The distinction between real-time and batch updates requires configuring different trigger timings. Call short-term data interfaces for real-time scenarios. Call summary interfaces for batch scenarios. Fields have fixed unit attributes. This requires clear field mapping rules when parsing tool responses, to avoid unit mix-ups that cause incorrect risk control judgments. Batch query entry limits require configuring the maximum number of entries per tool call, to prevent exceeding the LLM context window.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MAX_TOOL_CALLS_PER_ROUND | 10–15 | Round-based risk control queries for loan backlogs require up to 3 system tool calls. Reserve redundant capacity to avoid exceeding LLM context limits. |
MCP_TOOL_TIMEOUT | 300 seconds | Ledger data retrieval involves cross-interface queries across multiple systems. Reserve sufficient timeout to avoid data loss from mid-process interruptions. |
TOOL_CALL_ORDER_STRATEGY | Execute in dependency order | Loan backlog data requires first pulling basic contract information, then repayment records, then collection status. Trigger tool calls in dependency order. |
TOOL_RESPONSE_PARSE_RULE | Map to ledger attributes by field name | Ledger fields include fixed units (yuan, days). Clear parsing rules are required to avoid risk control errors from unit mix-ups. |
MCP_SERVER_RETRY_TIMES | 2 | Occasional fluctuations occur in core system calls. Configure retry times to ensure complete data retrieval. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Analyze specific issues on a case-by-case basis. It is recommended to test on your own samples before finalizing values.
Three Common Mistakes
- A
404 Not Founderror is returned when calling MCP tools. The cause is incorrect configuration of the MCP tool's service address and interface path, which prevents connection to the core data source of the loan backlog. - The LLM does not call multiple MCP tools in sequence during a single query, leading to messy ledger data splicing. The cause is that the
TOOL_CALL_ORDER_STRATEGYconfiguration for execution in dependency order is not enabled, and the data dependency relationship between tools is not bound. - The platform fails to start after upgrading
fastgpt-mcp-server. The cause is that the version compatibility configuration between the FastGPT platform and the MCP server was not updated synchronously, leading to port conflicts or protocol mismatches.
How to Confirm the Configuration Is Complete
- Navigate to the FastGPT tool management page, run connectivity tests for configured MCP tools, and confirm that returned fields match the loan backlog field definitions.
- Initiate a simulated risk control query, review the LLM's tool call logs, and confirm that tools execute in the preset order and that each call's parameters match ledger fields.
- Check platform operation logs, confirm there are no timeout errors related to
MCP_TOOL_TIMEOUT, and that the retry count configuration is active. - Compare the raw data returned by tools with the ledger attributes parsed by the LLM, and confirm there is no deviation in unit mapping for amount and day values.
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.