What the data for this category looks like
Glass yield rate data comes from public quotation APIs of domestic building material spot trading markets and the monitoring database of the China Building Glass and Industrial Glass Association. Core trading data for key categories is updated after each trading day closes. Updates are delayed to the next trading day for non-trading days. Data is provided in structured JSON or CSV format. Included fields are: glass category name, thickness specification, origin, current day spot transaction price, current day wholesale guide price, and regional supply price. Units are yuan per weight box or yuan per square meter. Some APIs include reference price fluctuation ranges for the past 7 days.
Constraints on Tool Calling and Plugins from These Characteristics
The multi-specification and multi-region nature of glass data requires precise category parameters during tool calling. Returned data will lack reference value without these parameters. The fixed update schedule for trading days requires plugin scheduled trigger configurations to align with trading hours. This prevents retrieving invalid empty data by calling the API during non-trading hours. Differences in field units require a unified unit conversion logic after tool calling. This avoids dimensional deviations in subsequent yield rate calculations. Most building material data sources enforce API rate limits. Call frequency must stay within a reasonable range, otherwise rate limit errors will trigger.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 240–300 seconds | The average response time of glass data source APIs falls within the 120-200 second range. A reasonable buffer is reserved to avoid mid-call interruptions |
mcp_server_spec | Fill in the OpenAPI 3.0 specification file address for the corresponding glass data source | Structured specification files can automatically parse API parameters and required fields, reducing manual configuration errors |
required_tool_params | ["glass_type", "spec_thickness", "region"] | Glass data has multi-specification and multi-region differences. Three core parameters must be specified to obtain valid matching data |
rate_limit_per_minute | 10 times | Most public building material trading data sources have a rate limit threshold of 10 calls per minute. Exceeding this will return a 429 status code |
unit_conversion_strategy | Unify the default units returned by the API to yuan per square meter | Unified units prevent dimensional deviations in subsequent yield rate calculations |
tool_call_retry_count | 2 times | Some APIs experience temporary network fluctuations. Limited retries reduce the probability of single-call failure |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: When sending a termination command to an MCP server-side tool, the tool continues execution and returns redundant data. Cause: The
abort_on_interruptparameter is not enabled in the MCP configuration, so the server cannot receive interrupt signals. - Phenomenon: Tool calls return empty fields, making yield rate calculation impossible. Cause: The
glass_typeorregionparameter is not included inrequired_tool_params. The data source cannot match corresponding data, returning empty results. - Phenomenon: Model output is interrupted mid-process, and tool call results are not organized and output. Cause: The tool call timeout setting is too short, triggering an interruption before the API response completes, or
tool_call_retry_countis not configured, causing a single call failure to directly terminate the process.
How to Verify Correct Configuration
- Call the test API, pass preset
glass_type,spec_thickness, andregionparameters, and verify that returned fields include required information such as transaction price and guide price. - View tool call logs to confirm that each call's response time does not exceed the configured
tool_call_timeoutthreshold. - Simulate consecutive calls, verify that returned status codes do not include 429 rate limit errors, and confirm that call frequency complies with the data source's rate limit requirements.
- Configure a scheduled trigger task to start calls one hour after the trading day closes, and verify that returned data is the latest daily trading 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.