What the data for this category looks like
The daily yield rate and market trend data for packaging and printing comes from the industry monitoring database of the China Packaging Federation, raw and auxiliary material quotation data from domestic bulk commodity spot trading platforms, and ex-factory quotation data anonymously reported by packaging and printing enterprises. Data is fully updated at 02:00 AM daily for the previous day’s complete dataset. The data is provided in structured table format, with each row corresponding to a combination of region and raw/auxiliary material category. Included fields are: region name, raw/auxiliary material category, same-day average purchase price (yuan/ton), same-day ex-factory quotation (yuan/square meter), gross profit per square meter (yuan/square meter), and number of valid orders on the day.
What constraints do these characteristics impose on the tool calling and plugins workflow
This category’s data is grouped by region and raw/auxiliary material category. A single tool call must pass two required parameters; otherwise, an empty dataset is returned. Decentralized multiple data sources require calling multiple MCP tools to pull data across different dimensions, which increases overall call latency. A single batch returns a large number of entries. Without restrictions, this will occupy a large context window and interrupt the model’s context. Field names vary across different data sources. Unified mapping is required for the model to correctly recognize fields, otherwise field missing or format errors will occur. The fixed daily update schedule requires configuring scheduled trigger rules for tool calls. This avoids repeatedly pulling old data or missing the latest daily report content.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
mcp_tool_timeout | 120 seconds | Packaging and printing data requires calling more than 3 data source APIs. Conventional API response times range from 60 to 90 seconds, so a reasonable buffer is reserved |
workflow_param_required_fields | region name, raw and auxiliary material category | This category’s data is grouped by region and category. Missing either parameter will return an empty dataset |
context_window_limit | 8000 characters | A single batch of tool returns a large number of entries. Exceeding the default context length will trigger model context truncation |
rerank_top_n | Top 10 entries | The core data of the packaging and printing daily report only needs to display the top 10 region-category combinations. Excessive content will occupy context space |
mcp_batch_size | 5 entries per call | Returning too many entries in a single call will cause API response timeout. Splitting into batches reduces overall latency |
parse_field_mapping | Calibrated based on actual testing | Field names differ across data sources. Original fields must be mapped to a unified format recognizable by the model |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, 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 configuration mistakes
- Symptom: The model’s context is truncated after calling an MCP tool, and subsequent conversations cannot associate the previous daily report data. Cause: The
context_window_limitparameter is not configured. The length of the structured data returned by the tool exceeds the platform’s default context threshold, triggering forced truncation. - Symptom: Calling an MCP tool returns empty results, and packaging and printing yield rate data cannot be obtained. Cause: No parameter collection node is added to the workflow, and the required parameters
区域名称or原辅材料品类are not passed to the tool. - Symptom: Response latency exceeds 2 minutes after calling an MCP tool, and the model takes too long to generate a reply. Cause: The
mcp_batch_sizeparameter is not set. A single call pulls full regional and category data, causing API response timeout.
How to confirm the configuration is correct
- Trigger the workflow’s parameter collection node, input test region and raw/auxiliary material category, and check if the MCP tool call can be initiated normally.
- View the MCP tool call logs, confirm that the returned fields match the configured
parse_field_mapping, with no missing fields or format errors. - After testing the tool call, check that the content length retained in the context window meets expectations, and no forced truncation occurs.
- Simulate multi-turn conversations, confirm that the context is not cleared after the tool call, and subsequent questions can associate with the previous daily report data.
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.