What Data for This Category Looks Like
Data sources for game industry intelligent due diligence reports include the National Press and Publication Administration game license announcement platform, public financial reports of game publishers, data from mainstream app stores, and public reports from third-party game monitoring agencies. Update rhythms vary significantly: license information updates quarterly in batches, app store DAU and download data updates hourly, and financial reports release quarterly. A single due diligence report contains three core field categories:
- License compliance fields: approval number, operating entity, filing number
- Operational data fields: DAU, MAU, revenue, with units of person-times, ten thousand yuan respectively
- Category and compliance verification fields: game age rating, minor protection compliance status
Constraints Imposed on Tool Calling and Plugins
Format differences across multiple data sources require plugins to support multiple return formats such as XML and JSON. Tool calling parsing logic must adapt to field naming rules of different data sources. Differences in update frequencies require plugins to support both scheduled pull and real-time pull trigger modes, matching the update rhythms of different data sources to avoid outdated data caused by mismatched pull cycles. Strict verification of compliance fields requires tool calling to add a field legitimacy verification step, ensuring that information such as license numbers and age ratings meets regulatory requirements. Mixed revenue data units require tool calling to complete unified conversion, preventing unit confusion in reports.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 300 seconds | Game due diligence requires calling three types of tools: license query, revenue statistics, and compliance verification. A single call needs to integrate multi-source data, and 300 seconds covers most interface response durations |
max_tool_calls_per_round | 3–5 | Core tool calls total 3 times, with 2 reserved fault-tolerant calls to avoid single-process interruptions |
plugin_parse_strict_mode | Enabled | Game due diligence data has high compliance requirements. Strict parsing filters invalid or malformed fields |
unit_auto_convert | Enabled | Game revenue data uses mixed units such as ten thousand yuan and yuan. Automatic conversion unifies output units |
tool_retry_max_times | 2 times | Third-party game monitoring interfaces may experience occasional fluctuations. Retrying 2 times reduces call failure rates |
plugin_auth_type | api_key | Most third-party game data interfaces use API key authentication. This configuration completes identity verification quickly |
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
- An interface prompt of
The tool call is not supportedoccurs because tool call permission is not enabled in the knowledge base configuration, or the bound plugin is not associated with the currently used agent. - A
400 Bad Requestresponse is returned when calling the MCP service, because the MCP service endpoint address is not configured correctly, or required authentication parameters are missing from the request header. - Tool call failures occur when deploying a local model after version 4.8.19, returning
model_not_found. This is because the configuration item name for model loading paths was changed in the new version, and the corresponding parameters were not updated synchronously.
How to Verify Proper Configuration
- Navigate to the FastGPT agent configuration page, check that the tool calling module is enabled, and that the three plugins for license query, revenue statistics, and compliance verification are bound.
- Initiate a single tool call test, confirm that the returned result contains complete license, operational data, and compliance fields, and that revenue units are unified.
- Check the system operation logs to confirm there are no errors of type
tool_call_timeout,400 Bad Request, ormodel_not_found. - Manually trigger a data pull task, check that updated game data is synchronized to the corresponding documents in the knowledge base.
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.