What the Data Looks Like for This Use Case
Data sources for this use case include public regulatory disclosure platforms, subsidiary financial systems, and third-party compliance data interfaces. The update cycle completes full data scraping and organization for the previous day every early morning. Each daily report document includes fields such as multi-level entity hierarchy identifiers, funding amounts (unit: ten thousand yuan / hundred million yuan), funding methods, disclosure dates, and fund usage. Entity association fields must match the holding relationship tree structure to prevent cross-level data confusion.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
Multi-level entity association fields require tool calling to support filtering data by holding hierarchy. This prevents returning irrelevant subsidiary funding records. The daily update cycle requires scheduled plugin calls to use fixed daily trigger tasks. It also requires distinguishing between incremental and full pull parameters. The multi-unit funding amount feature requires plugins to automatically complete unit normalization. This ensures data consistency. The public nature of disclosure data requires tool calling to adapt to interface authentication rules for different data sources. This prevents data scraping failures due to insufficient permissions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_call_max_depth | 3-5 levels | Matches the subsidiary hierarchy structure of most conglomerates, avoids returning redundant data beyond the configured hierarchy |
plugin_schedule_cron | 0 1 * * * | Aligns with the daily early morning update cycle of funding daily reports, ensures tool calls retrieve the latest data |
MCP_PARAM_TYPE_POLICY | auto_detect | Prevents parameter types from being forcibly fixed to string, enables accurate transfer of numeric fields such as funding amounts |
tool_call_timeout | 600 seconds | Covers the full time required for multi-data-source scraping and hierarchical data association, prevents mid-process timeout interruptions |
stream_tool_output | Disabled | Funding daily reports require complete structured output, avoids fragmented results from streaming output that impact analysis |
max_tool_retry_count | 2 retries | Addresses temporary fluctuations in third-party data sources, reduces task interruptions caused by single interface failures |
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
- Issue: Numeric fields such as funding amounts are forcibly converted to string types during MCP service calls. This prevents subsequent numeric calculations. Cause:
MCP_PARAM_TYPE_POLICYis not configured for auto-detect mode. This issue is particularly prominent in deployment environments using version 4.9.6. - Issue: Tool calling tasks occasionally return empty results. Logs show
LLM_model_response_empty. Cause: No reasonabletool_call_timeoutis set, or the scheduled task trigger time does not match the data source update cycle. This results in failure to retrieve valid daily data. - Issue: Tool calling continues to return segmented results after calling an API that stops output. Cause:
stream_tool_outputis not correctly configured as Disabled, or API call parameters do not match the corresponding settings.
How to Verify Proper Configuration
- Initiate a test tool call. Check if returned funding data only includes subsidiary records within the configured hierarchy. Verify that the hierarchy filtering configuration is active.
- Review MCP service call logs. Confirm that numeric field parameter types are not forcibly converted to string, and retain their original data format.
- Trigger a scheduled task. Check if full data scraping and organization complete within the set time. Confirm no timeout-related errors occur.
- Disable streaming output. Check if tool call returns a complete structured document, with no fragmented output.
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.