What the data for this category looks like
Data sources for tourist attraction financing daily reports include public tourist operation monitoring data from cultural and tourism authorities, financing filing information of cultural and tourism enterprises disclosed by local financial supervision bureaus, and financing docking data from third-party cultural and tourism industry service platforms. Data is updated daily. Documents are presented as structured tables paired with short explanations. Core fields include tourist attraction name, affiliated region, daily passenger trips, daily revenue (ten thousand yuan), financing docking subject, financing amount (ten thousand yuan), financing method, and disclosure date. Financing method includes enumeration types such as equity, debt, and cultural and tourism special subsidies.
What constraints these characteristics impose on tool calling and plugins
Data sources are scattered, so multiple types of interfaces including government public platforms and third-party industry platforms must be called simultaneously. Multi-source aggregation logic must be configured for tool calls to avoid missing key information in single calls. The daily update requirement for the data means the tool trigger cycle must be fixed as a natural day. Shorter intervals are not recommended, to prevent duplicate requests from occupying interface resources. Fields include numerical items with units and enumeration types. Plugins must configure unit verification and standardization conversion rules to ensure unified data formats across sources. Tourist attraction names may have duplicate instances. The affiliated region field must be bound as a unique identifier. Region parameters must be mandatory during tool calls to avoid data matching errors.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
scheduled_trigger_cron | 0 8 * * * | Financing daily reports are typically released in the early morning of each day, aligning with the regular rhythm of business reporting and decision-making |
plugin_request_max_size | 10 MB | Structured data for financing daily reports is relatively small. Set a reasonable upper limit to avoid triggering 413 Request Entity Too Large errors |
model_tool_allowed_types | ["function_call"] | Restrict the model to use only tool calling mode, preventing default inference modes of models such as qwen3 from interfering with the tool calling workflow |
hide_tool_log | Enabled | Output for business personnel does not need to display internal calling details. Focus on the final daily report content, while protecting sensitive interface information |
tool_call_max_retry | 2 times | Address occasional fluctuations in government interfaces, avoiding excessive retries that consume interface resources and increase calling costs |
mcp_stream_enable | Enabled on demand | Enable when streaming return of tool calling progress is required, to adapt to real-time update business scenarios |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to conduct actual tests on one’s own samples before finalizing.
Three Common Errors
- Tool interface calls return 413 Request Entity Too Large errors. The cause is incorrect configuration of the
plugin_request_max_sizeparameter, where the transmitted data volume exceeds the preset upper limit of the interface. - The qwen3 model still generates non-tool calling inference content during tool calls. The cause is failure to configure the
model_tool_allowed_typesparameter to limit the model calling mode, resulting in the model not strictly following tool calling rules. - Cross-region duplicate name confusion occurs in tourist attraction data returned by tools. The cause is failure to bind the affiliated region field as a unique identifier in tool calling parameters, using only the tourist attraction name for filtering, leading to matching of incorrect tourist attraction financing information.
How to Confirm Proper Configuration
- Manually trigger a tool call, and check whether returned results only include preset core fields with no redundant irrelevant information.
- View the tool call log, confirm that the trigger cycle matches the configured cron expression, and no retry operations exceeding the preset number of times occur.
- Test passing tourist attraction parameters with duplicate region names, and check whether returned results correctly match financing data for the corresponding region, with no cross-region confusion.
- After enabling the
hide_tool_logconfiguration, view terminal output, and confirm that internal request details and sensitive interface information of tool calls are not displayed.
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.