Tool Calling and Plugins for Iron Ore Financial Report Analysis

- Client industry: Iron ore

What this page covers

  • Client industry: Iron ore
  • Business direction: Financial report analysis and report generation
  • Capability area: Tool calling and plugins

What the data for this category looks like

Iron ore-related financial report data comes primarily from public periodic reports of listed mining companies and public statistical materials from industry associations. Updates follow fixed disclosure cycles. Listed companies release financial reports quarterly and annually. Supporting industry data is updated monthly. Document structures include business segment operating details, production and sales volume and inventory statistics, and cost and revenue breakdown modules. Core fields include:

  • Production and sales volume (unit: 10,000 tons)
  • Revenue scale (unit: 100 million yuan)
  • Unit production cost (unit: yuan/ton)
  • Quantitative values for transportation costs as a share of operating costs

All fields use standardized quantitative data, with no large share of custom unstructured text.

Constraints for tool calling and plugins

The scattered sources and fixed update cycles of iron ore financial reports require tool calling workflows to support both structured financial report fields and semi-structured industry statistical documents. Plugins must pull newly disclosed financial reports on a fixed schedule to avoid using expired information. Core fields use different quantitative units across entities. Some enterprises use US dollar pricing, while others use renminbi. Tools must include configurable unit conversion options. Financial report disclosure formats vary slightly across enterprises. The plugin document parsing module must support custom template matching rules to adapt to the document structures of different disclosing entities. Iron ore-related data has strong business relevance. Tool calling must integrate multiple data sources. Configure reasonable concurrent call thresholds to avoid triggering interface rate limits.

Configuration settings

Configuration ItemRecommended ValueRationale
FASTGPT_MIN_VERSION4.96 and aboveThis and later versions support full MCP tool calling and local service deployment functionality, matching the most common usage version among community users
MCP_SERVER_PROXY_ENDPOINThttp://localhost:8080 (local deployment scenario)When deploying an MCP server locally, point to the service port running on the local machine, aligning with common local configuration requirements from the community
PARSE_FILE_TIMEOUT_SECONDS300 secondsIron ore financial report documents are typically lengthy, so reserve sufficient parsing time to avoid timeout errors mid-process
RECALL_TOP_KTop 8 entriesCore data for iron ore financial reports is concentrated in business segment and operating data modules. Recalling too many irrelevant items will interfere with analysis results
UPLOAD_FILE_MAX_SIZE500 MBComplete annual iron ore business financial report PDFs typically do not exceed this size, covering upload requirements for most publicly disclosed documents
MAX_CONTEXT_LENGTH8000–12000 charactersFinancial report data includes multiple segments of business details. Sufficient context is needed to link operating data related to iron ore across different modules

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Address specific issues on a case-by-case basis, and test with your own samples before finalizing.

Three common mistakes

  • Symptom: Text extraction tools return empty fields or format errors. Cause: No dedicated extraction rules configured for the business segment module of iron ore financial reports. Generic extraction rules cannot match the specific naming formats of targeted fields.
  • Symptom: Locally deployed MCP services cannot be called successfully, returning connection timeout errors. Cause: The port configured in MCP_SERVER_PROXY_ENDPOINT does not match the actual running port of the local MCP service, or network access permissions for the corresponding port are not enabled.
  • Symptom: Financial report data returned after tool calling does not match the actual disclosed content. Cause: No scheduled pull task configured to update data based on financial report disclosure cycles, using cached expired data.

How to confirm correct configuration

  • Run a connectivity test for the local MCP service. Check if the configured MCP_SERVER_PROXY_ENDPOINT can return interface data normally, and verify that the configured port matches the service running port.
  • Upload a public iron ore enterprise financial report document. Confirm the parsing result includes core fields such as business segments and production and sales volume, verifying that the parsing rules match the document structure.
  • Submit a tool calling request for financial report analysis. Check if the returned context length covers all data required for the analysis, confirming that the MAX_CONTEXT_LENGTH configuration is reasonable.
  • Check system logs to confirm there are no timeout errors related to PARSE_FILE_TIMEOUT_SECONDS, verifying that the parsing duration meets the configured requirements.

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.