What the data for this category looks like
Core data sources for construction machinery include factory calibration parameters from equipment manufacturers, on-site operation and maintenance logs, and equipment scheduling records from rental platforms. Factory parameters are static structured data, including fields such as equipment model, rated lifting capacity, maximum operating radius, and fuel consumption rate. Most units are tons, meters, and liters per hour. On-site operation data is updated dynamically, with update frequencies ranging from minute-level to hour-level. Each single record includes fields such as operating duration, load rate, and location coordinates. Common document formats include CSV, JSON, and binary streams reported via industrial protocols. Some manufacturers provide standardized PDF technical manuals.
Constraints imposed by these characteristics on tool calling and plugins
The fixed nature of static factory parameters requires prioritizing caching of already acquired equipment data during tool calls. This avoids repeated requests that consume resources. The high-frequency update characteristic of dynamic operation data requires configuring scheduled synchronization tasks. This ensures the latest status is obtained when tools are called. Single devices have many data fields, and unit differences are significant. Unit standardization conversion must be completed before tool calls. This prevents the large language model from generating incorrect marketing content. Long-form technical manual documents must be split and passed to tools in batches. This prevents exceeding context length limits. Field priority tags must also be added to ensure marketing content focuses on operation performance parameters that users care about.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
mcp_request_timeout | 300–600 seconds | Construction machinery data includes long document parsing and real-time operation status queries, so the timeout threshold must cover the complete data acquisition process |
maxContext | 8000–12000 characters | The technical manual and operation data fields for a single device are numerous, so sufficient context must be retained for the large language model to associate and generate marketing content |
mcp_cache_ttl | Static parameters: 3600 seconds; dynamic operation data: 60 seconds | Static factory parameters do not require frequent updates, while dynamic operation data must synchronize on-site status |
tool_call_filter_fields | Retain rated lifting capacity, operating radius, fuel consumption rate | Construction machinery marketing content must focus on core operation performance parameters, filtering non-core fields such as maintenance and parts |
mcp_input_schema | Mandatorily bind unit mapping rules | Parameter units vary across different manufacturers, so tons, meters, and liters/hour must be mapped to standard input formats in advance |
max_tool_calls_per_round | 3–5 times | Marketing content involving multi-device comparisons must control the number of calls to avoid process timeouts or exceeding large language model call limits |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Tool calls return empty results or trigger repeatedly. Logs show a
504 Gateway Timeoutstatus code. Cause: The timeout configuration was not adjusted for construction machinery's long document parsing, causing requests to be terminated before completion. - Phenomenon: Device parameter charts embedded in marketing content only display partial areas. Cause: Long documents were not split during tool calls, leading to context overflow. The large language model does not fully extract chart-associated parameters.
- Phenomenon: Unable to bind HTTP response input parameter variables when adding an MCP service. The interface prompts
invalid input schema. Cause: Input mapping was not configured according to the field structure of construction machinery parameters. A generic input parameter template was used directly.
How to Confirm the Configuration Is Set Correctly
- Initiate a single device parameter query, and check that returned fields match the configured filtering rules.
- Review tool call logs to confirm no
request timed outor504 Gateway Timeouterrors are triggered. - Test a multi-device comparison scenario, and check that the number of tool calls meets the preset upper limit.
- Verify the MCP service's input parameter mapping, and confirm that HTTP response unit fields are correctly converted to standard formats.
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.