What Data Looks Like for This Category
Data sources for paint and ink industry financial reports include publicly traded annual reports from domestic and overseas markets, monthly survey data from industry associations, and voluntary operational briefings released by enterprises. Update schedules follow these rules: annual reports are released once per year, quarterly reports are released each quarter, and temporary operational announcements are released alongside operational milestones. Most documents are in PDF format. They contain consolidated financial statements, breakdowns of revenue by category, raw material procurement costs, production capacity and output data. Fields include operating revenue (unit: ten thousand RMB), operating costs, total raw material procurement amount, designed production capacity (unit: ten thousand tons per year), and actual output (unit: ten thousand tons).
Constraints Imposed on Tool Calling and Plugins
Data sources for paint and ink financial reports are scattered and have varied formats. Tool calling plugins must support unstructured PDF parsing, and accurately extract segmented fields such as category-specific revenue and raw material costs. Document structures vary significantly across different disclosure cycles. Plugins must support triggering data pulls based on annual, quarterly, or temporary announcement time dimensions. Category-specific capacity and output fields differ from general financial report fields. Plugins must pre-configure industry-specific field mapping rules to prevent field misalignment caused by generic parsing. Public data often uses units such as ten thousand and ten thousand tons. Plugins must include built-in unit verification logic to prevent invocation errors where values do not match their units.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Paint and ink financial report PDFs often include multi-page product breakdowns, which take longer to parse. 600 seconds covers the full parsing process. |
TOOL_FIELD_MAPPING_ENABLE | Enabled | General financial report fields must be mapped to paint and ink-specific fields, such as mapping "total revenue" to "total revenue of paint and ink segments". |
PLUGIN_REQUEST_RETRY_TIMES | 2 times | Public financial report data interfaces may experience temporary fluctuations. 2 retries reduce invocation failures caused by temporary faults. |
PLUGIN_DATA_UNIT_VALIDATE | Enabled | Category data often uses units such as ten thousand and ten thousand tons. Verification prevents tool invocation errors where values do not match their units. |
MAX_TOOL_CALL_STEPS | 5 steps | Financial report analysis requires multiple rounds of tool calls to pull data across different cycles. 5 steps cover conventional analysis requirements. |
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. Specific issues require targeted analysis. Testing on local samples is recommended before finalizing settings.
Three Common Misconfigurations
- A tool call returns the
400 InternalError.Algo.InvalidParametererror. The cause is that field mapping is not enabled. The plugin uses general financial report fields to match paint and ink-specific data, resulting in invalid parameters. - A data pull via the time application plugin returns empty results. The cause is failure to adapt to the disclosure cycle of paint and ink financial reports. The plugin defaults to pulling data by natural month, while category data is often disclosed quarterly or annually.
- A connection to an MCP service fails. The cause is that plugin identity verification parameters are not configured. Public financial report data interfaces typically require API keys. Missing key input leads to permission verification failure.
How to Verify Correct Configuration
- Upload a locally stored PDF of a publicly traded company's paint and ink financial report. Check if the parsed results include category-specific revenue, raw material costs, and other dedicated fields.
- Trigger a tool call to pull financial report data for a specified cycle. Verify that the returned result's time interval matches the configured query cycle.
- Input a set of test data with units of ten thousand and ten thousand tons. Check if the plugin correctly identifies and verifies unit matching.
- Simulate a temporary interface fault. Check if the tool initiates retry requests according to the configured retry count.
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.