Tool Calling and Plugins for Hotel and Catering Intelligent

Data Profile for This Category

Hotel and catering due diligence data comes from four main channels: store operation licenses (business license, food business permit), online platform operation data (in-store consumption records from local online platforms), offline supply chain vouchers (ingredient purchase invoices, supplier statements), and internal management reports (individual store revenue details, labor cost ledgers). Data update rhythms vary significantly: online operation data updates daily, supply chain vouchers are archived monthly, and qualification documents are renewed annually during inspections. Document structure includes two categories: structured reports and unstructured vouchers. Structured fields include: average daily revenue per store (unit: yuan), health rating (graded type), lease contract expiration date (date type). Unstructured documents are mostly PDF invoice scans and physical voucher scans.

Constraints Imposed on Tool Calling and Plugins

The data characteristics of hotel and catering due diligence impose multiple constraints on the tool calling and plugin workflow. Mixed calls to multi-source data require tool chains to support both structured database queries and unstructured document parsing. Corresponding plugin permissions and timeout parameters must be configured separately. Data with different update rhythms requires staged tool calls to avoid inconsistent results caused by mixing real-time and offline data. Specific field and unit requirements mean the tool calling parameter verification logic must match category-specific fields. For example, the unit and range of numeric fields must be verified. Individual store operation details often have a large number of entries. The volume of results returned by a single tool call may exceed the context limit of the large model. Pagination query and result truncation rules must be configured.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`function_call_max_tokens`	`8000–12000`	Hotel and catering due diligence has many structured data fields and long original text fragments. Sufficient tokens are needed to accommodate query results and raw data
`plugin_request_timeout`	`900 seconds`	Batch pulling supply chain data and cross-platform operation data may cause single request duration to exceed the default threshold
`mysql_query_max_rows`	`500–1000`	Individual store revenue details usually contain hundreds of records. Exceeding this range will lead to result truncation
`rag_recall_top_k`	`Top 3–5 entries`	Due diligence reports require accurate reference to original text fragments. Too many recalled results will interfere with the large model’s summarization logic
`parse_file_chunk_size`	`1500–2000 characters`	Purchase voucher PDFs for hotel and catering businesses often contain long paragraphs. Too small chunk sizes will disrupt context coherence
`api_auth_key_scope`	`Bind exclusive permissions per workflow`	Avoid cross-project data access risks caused by universal keys, and match the permission isolation requirements of due diligence projects

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 specific analysis. It is recommended to test on your own samples before finalizing settings.

Common Misconfigurations

Only summarized data is returned after calling a MySQL database, with no original field fragments. Cause: The function_call_return_raw_data parameter is not enabled, or database query results are not bound to the RAG recall logic.
Workflow execution times out, and the interface returns a 504 Gateway Timeout error. Cause: The plugin_request_timeout parameter is not adjusted. The default configuration cannot support batch pulling of supply chain data.
Authentication fails, and the interface returns 401 Unauthorized. Cause: Universal keys are used to bind tool plugins, and permission scopes are not isolated per project. Cross-project data access is blocked.

How to Verify Correct Configuration

Run a test workflow to call MySQL to query individual store revenue details. Check if the returned results contain field value fragments from the original SQL query.
View the workflow execution log to confirm that the plugin request duration does not exceed the configured plugin_request_timeout threshold.
Check the tool plugin authentication configuration. Confirm that universal keys are not used, and exclusive permission scopes for the corresponding project are bound.
Pull more than 1000 pieces of operation data in batch. Check that the number of returned result rows does not exceed the configured mysql_query_max_rows limit.

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.