What the data for this category looks like
In-store POS systems, reservation management backends, menu editing tools, and third-party review platforms provide most marketing-related data for hotel and catering. Update rhythms vary significantly: menu items and promotion information typically update daily or weekly. Real-time inventory and in-store reservation data refreshes per order or hourly. User reviews are added in real time.
Document structures primarily use structured tables or JSON format, and include fields such as store ID, store name, business hours, dish list (with dish ID, name, selling price, inventory), promotion activity rules, user review text, and star ratings. The unit for selling price is yuan, the unit for inventory is servings, and business hours use the 24-hour format.
What constraints these characteristics impose on tool calling and plugins
Data sources with varying update rhythms require tool calls to match different trigger frequencies. Real-time inventory and reservation data must be pulled via webhook or scheduled polling, and expired cached data must be avoided. Menu and promotion data can be synced daily to reduce call frequency.
Structured data with multiple fields requires tool input parameters to precisely match unique identifiers such as store ID and dish ID, to prevent pulling cross-store or incorrect category information. Generating marketing content requires combining multiple data types, so tool calls must support batch pulling but control the amount returned per request, to avoid context overload. Additionally, the mixed text and star rating format of review data requires plugins to support parsing and splicing multiple data types.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_request_timeout | 300 seconds | Hotel and catering-related plugins connect to POS, reservation, menu management and other systems. Single interface response typically ranges from 100 to 200 seconds. Reserve buffer to cover peak delay |
Recall count | Top 6 entries | Marketing content generation combines information such as popular dishes, daily promotions, and user reviews. Balances information completeness and context length limits |
Similarity threshold | 0.72–0.78 | Requires precise matching of store ID, dish name, and activity tags. This range avoids introducing irrelevant data while covering matching needs for dish aliases or approximate promotion copy |
tool_call_max_retries | 2 retries | Catering interfaces are prone to rate limiting during peak hours. 2 retries cover temporary fluctuations and avoid single call failure |
max_context_length | 8000–12000 characters | Hotel and catering marketing materials include multi-store data and multi-dish information. This length can carry complete context information |
PARSE_FILE_MAX_SIZE | 200 MB | Marketing materials include menu images, event posters and other files. Size limit avoids parsing timeouts or excessive resource usage |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After the tool call workflow completes, the AI continues to generate irrelevant natural language responses and does not return the structured result of the plugin call. Cause: The
tool_call_endtermination node is not added after the tool call node in the workflow orchestration, causing the workflow to not terminate correctly and proceed to the large model generation stage. - Phenomenon: Redundant AI conversation content is mixed in the plugin return results, and only structured marketing cards cannot be displayed. Cause: Pure result output mode is not enabled in the plugin configuration, or the
plugin_output_onlyparameter is not set to enabled, causing the tool result to be wrapped in natural language responses. - Phenomenon: Generated marketing copy includes sold-out dishes or uses expired promotion information. Cause: No scheduled refresh rule is configured for tool calls, or real-time inventory and current activity time range are not passed in the input parameters, causing cached old data to be used.
How to confirm correct configuration
- Trigger the tool call node, check the platform's returned interface logs, confirm that the returned dish, inventory, and promotion data match the actual information of the corresponding store.
- Adjust the similarity threshold, test the accuracy of matching dish aliases and approximate promotion tags, confirm that the matching results meet business expectations.
- Check the time-consuming logs of plugin calls, confirm that the time does not exceed the configured
plugin_request_timeoutvalue, and there are no timeout error records. - Test the termination node of the workflow orchestration, confirm that after the tool call is completed, the workflow directly returns the structured result and no additional natural language responses are generated.
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.