What the documents look like
This page covers contract and transaction-material comparison in store cold-chain receiving. The materials are cold-chain temperature records, arrival acceptance sheets, rejection notes and supplier delivery notes. Compared with fruit purchasing, cold-chain receiving focuses on transport temperature and arrival batches, and does not handle origin price inquiries. Each batch involves temperature measurement, quality sampling and rejection-reason registration, so materials arrive batch by batch and update daily or per batch.
When these materials enter the tool-call and plugin step, the comparison task places contract terms and arrival transaction materials under the same entity, the same period and the same field. The tool-call node decides whether to execute based on the tool introduction and parameter introductions; the LLM selects tools from contextual meaning. Tool results return to the AI for summary output by default, and a tool-call termination node can be attached when that summary is not wanted.
Constraints at the tool calls step
The tool introduction needs to state input conditions and the situations in which the tool should not be called. System-module parameters are fixed, while plugin parameters are configurable; a parameter introduction does not by itself ensure execution. When a suitable required parameter is absent, the model may not call the tool; prompts can guide the user to supply the parameter, and the actual request is then checked. In advanced orchestration, available tools are connected to the tool-call module, and the documentation recommends tuning a small number of tools first. The tool-call termination node ends that call, calls no further tools and does not call the AI to summarize tool results. Custom variables can add parameter descriptions for nodes that are not treated as tool parameters, so the tool call invokes that node and the workflow after it.
Retrieval or a form collecting values does not constitute authorization. Business verification, approval, database writes and external synchronization each need their own downstream implementation. Semantic recall and relevance scores do not carry permission or entity-isolation duties.
Hypothetical paper exercise sample: a supplier delivery note states "10 March 2025, Cold Storage A delivers 200 kg of chilled pork to Store B, transport temperature record range 0 to 4 degrees Celsius, receiving status pending acceptance." A draft sentence reads "This batch of chilled pork has completed store acceptance, the temperature is qualified, and warehousing is approved." The subject, object, status and validity scope needed for the judgment are present in the source text; the acceptance-completed status is not stated.
Configuration and implementation checks
| Configuration item | Hypothetical starting point for this exercise | How to check |
|---|---|---|
| Tool introduction | State the input conditions for comparing contract and delivery note | Inspect whether situations where the tool should not be called are described |
| Required parameter | Set to arrival batch number | Observe whether the model calls the tool when the parameter is absent |
| Tool connection | Connect only the tools needed for comparison | Confirm the available tools are connected to the call module |
| Tool-call termination | Attach after the comparison tool | Confirm the AI summary is no longer called |
| Custom variable | Add a description for the acceptance-status field | Check whether the actual request carries that variable |
The starting point is set for this hypothetical exercise and is not an official default. The reason for choosing the arrival batch number is that it uniquely locates the comparison object; the comparison target is whether that parameter appears in the actual request.
Three common errors
- Treating a parameter introduction as an execution assurance. Input: the plugin parameter introduction text. Comparison: whether the actual request carries that parameter. Observable result: the tool does not execute when the parameter is missing.
- Treating pending acceptance as completed acceptance. Input: the delivery note wording "receiving status pending acceptance." Comparison: the draft sentence "has completed store acceptance." Observable result: the two status fields hold different values.
- Treating a retrieval result as an authorization basis. Input: records returned by knowledge-base retrieval. Comparison: whether an approval or write action exists. Observable result: retrieval matches but no downstream execution record is present.
How to verify the setup
- Input the hypothetical delivery note text and the draft sentence, compare the status fields "pending acceptance" and "completed store acceptance." If the two values differ, the draft sentence is unsupported and the evidence gap is recorded.
- Input a request missing the arrival batch number, compare whether the model calls the comparison tool. If it does not call, that matches the documented description for a missing required parameter; after interaction completes the parameter, check the actual request.
- Input an empty-result downstream scenario, using an explicit paper input of an empty list to check the downstream design, and observe whether the downstream handles it as an empty result. No claim is made that a fabricated rule retrieval returns an empty list.
All of the above is paper checking; no test, deployment or approval was actually executed. Libraries across different vector models cannot be associated together; identifiers are checked first, non-matching ones are excluded, and actual observations are recorded.