What the Data for This Category Looks Like
Indicator caliber data originates from internal business ledgers of financial institutions and statistical standard documents released by regulators. Update cycles trigger when regulatory policies adjust or internal business rules change, with no fixed schedule. Each individual data document includes six fixed fields: caliber name, core definition, calculation logic, applicable business scenarios, statistical cycle, and unit of measurement. Units of measurement are mostly monetary, per-person, or proportional. Field values must strictly match business definitions and regulatory requirements.
What Constraints These Characteristics Impose on the Tool Calling and Plugins Workflow
The multi-source, heterogeneous data sources require tool calling to connect to both internal business systems and public regulatory documents. Implement cross-source data synchronization verification logic to ensure the compliance of returned data. No fixed update cycle requires plugins to support on-demand pulling of the latest caliber data, avoiding result deviations caused by expired cached data. Use a parameter template for tool calling that strictly corresponds to the six fixed fields, and verify field integrity before calling. Add built-in unit conversion logic to tool calling to ensure that values from different calibers can be directly compared.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MCP_SERVER_URL | http://192.168.1.100:8765/v1/tools | Standard API address for connecting to the internal indicator caliber management service, must match the deployed MCP service port and interface path |
tool_call_max_turns | 3 turns | Indicator caliber verification confirms definition, calculation logic, and applicable scenarios in sequence. 3 turns covers the complete verification workflow |
recall count | Top 3 | Indicator caliber data has a fixed structure. The top 3 results cover different business branches of core calibers and avoid redundant recalls |
similarity threshold | 0.85–0.90 | Semantic matching between indicator caliber names and user queries requires a high standard to prevent recall of irrelevant business indicators |
parse_timeout | 600 seconds | Some indicator calibers associate with multiple regulatory documents. 600 seconds covers the time required for long document parsing and cross-source data pulling |
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. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Knowledge base content cannot be recalled simultaneously after configuring tool calling. Cause: Trigger conditions for both knowledge base recall and tool calling were not configured in the system prompt at the same time, causing their calling logic to be mutually exclusive.
- Symptom: MCP service calls return
404 Not Found. Cause: The interface path forMCP_SERVER_URLwas filled incorrectly, failing to match the actual endpoint of the deployed indicator caliber MCP service. - Symptom: Abnormal token count appears in tool calling results. Cause: FastGPT's built-in token statistics rule adaptation was not enabled, leading to unexpected token counting for long indicator caliber texts.
How to Confirm Successful Configuration
- Access the configured
MCP_SERVER_URLaddress, use a testing tool to send a standard tool calling request, and confirm the returned indicator caliber data includes all six fixed fields. - Enter a query related to indicator calibers in the FastGPT debugging interface, trigger tool calling, and check whether the calling log contains correct MCP service request parameters and returned results.
- Adjust
recall countandsimilarity thresholdto verify recalled results only include indicator caliber data strongly relevant to the user's query. - Simulate a multi-round tool calling scenario to confirm the calling process does not terminate early due to exceeding the
tool_call_max_turnslimit.
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.