What the data for this category looks like
Data for this category is generated across the full lifecycle of tooling, fixtures and gauges. Sources include product digital models and GD&T specifications, process route documents, coordinate measuring machine data, on-site trial feedback, and metrology system records. Daily produced documents include tooling requirement specifications, positioning datum schemes, fixture design drawings, gauge operation guides, acceptance reports, calibration records, and change histories. Data update rhythm aligns with project progress, product change milestones, and regular calibration cycles. Each data entry links to multiple process steps, with fields including unique identifiers such as datum tolerances, clamping force parameters, and calibration cycles.
What constraints these characteristics impose on tool calling and plugins
Data for this category links to multiple process steps and has a complex structure. Tool calling must support access to multi-source heterogeneous data, including coordinate measuring machine data, GD&T specification documents, and change histories. Unstructured tooling drawings and gauge operation manuals require dedicated parsing plugins adapted to mechanical drawing formats, and cannot rely on general-purpose document processing tools. Data updates do not follow a fixed cycle, so tool calling must support dynamic pulling of the latest calibration records and change information to avoid using expired data. Each data entry links to multiple process nodes, so tool calling must connect multiple plugins to complete tasks such as datum conversion and interference verification, and must retain calling chain logs for problem traceability.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Must automatically select tools adapted to professional tooling scenarios, to avoid forced calls to irrelevant plugins |
| Workflow/API function-call configuration | enabled | Must enable function calling to connect to dedicated plugins such as coordinate measuring data queries and calibration record pulls |
| Tool call timeout | 120–180 seconds | Tooling data parsing requires processing drawings and digital models, which takes a long time. Adjust the interval based on actual measured values |
| Plugin call retry count | 2 times | Tooling data sources are scattered, and network fluctuations or temporary interface exceptions can be resolved through retries |
| Maximum context token count | 8000–12000 tokens | Must accommodate GD&T specifications, fixture drawing parsing results, and change histories, to avoid truncation of critical information |
| Tool call log storage | Enable full-chain recording | Must retain calling chains for quality problem traceability, to comply with process control requirements for tooling manufacturing |
Three common configuration mistakes
- Scenario: Calling the
functionCallplugin returns an empty result, and no calibration records for the corresponding tooling project are obtained. Cause: The connection permissions between the plugin and the enterprise metrology system have not been configured, or the plugin data source is not linked to the change history of the current project. - Scenario: The generated quality analysis results do not match GD&T tolerance requirements, and the effect is weaker than directly using a large language model for processing. Cause:
toolChoiceis not set to automatic adaptation mode, and forced calls to general-purpose tools lead to missing recognition of professional mechanical fields. - Scenario: A login-free application cannot obtain user identification when calling the MCP Server, and cannot link to the user’s tooling project data. Cause: The user identification transmission function is not enabled in the application configuration, and user-related parameters are not passed by default in login-free mode.
How to confirm configuration is complete
- Trigger tool calling on the application debugging page of FastGPT v4.17.0, and check whether the full-chain log includes complete steps for plugin calls and data pulls.
- Upload a fixture design drawing, and verify whether the tool call returns a positioning and clamping scheme parsing result that complies with industry specifications.
- Simulate a plugin call failure scenario, and confirm whether the system triggers the preset retry mechanism, and records the failure cause and retry count.
- After configuring a login-free application, send a request through the MCP Server interface, and confirm that the interface can obtain user-linked project identification information.
The values provided are common starting points and should be measured against the reader's own samples.