What the data for this category looks like
Brand agency operation research report data mainly comes from three types of channels: brand monitoring agencies, e-commerce platform backends, and social media public opinion analysis platforms. The update rhythm is mostly weekly, and real-time monitoring reports for some key categories are updated monthly. The document structure includes four modules: core brand account metrics, competitive benchmarking data, campaign effect analysis, and content interaction performance. Fields include follower growth, single-post play count, campaign ROI, interaction conversion rate, etc. Units include multiple quantitative identifiers such as ten thousand, counts, %, and ten thousand yuan. Some reports also include structured table data and long-text analysis conclusions.
What constraints do these characteristics impose on tool calling and plugins
Multi-channel data sources require tools to support connecting multiple independent MCP nodes to pull report data from different platforms separately. The weekly update rhythm means scheduled tool calling tasks must match this cycle to avoid excessive API calls and additional consumption. Multiple fields and units require tools to have built-in field mapping and unit unification logic, otherwise exclusive operational data for brand agency operations cannot be accurately extracted. The mixed structure of structured tables and long text requires tool calling to support both non-text content parsing and structured data extraction, otherwise key competitive benchmarking table information will be missed.
How to set the configurations
| Configuration Item | Recommended Value | Rationale | |
|---|---|---|---|
UPLOAD_FILE_DEFAULT_FORMAT | Auto-detect all supported formats | Brand agency operation research reports include multiple formats such as PDF, Excel, CSV. Auto-detection reduces format adaptation costs when connecting to MCP | |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single research report may contain multi-page tables and long-text analysis content. A longer timeout avoids mid-parsing interruptions | |
RECALL_TOP_K | Top 10-15 entries | Competitive benchmarking content in brand agency operation research reports is scattered. Sufficient entries must be recalled to cover multi-dimensional operational data | |
SIMILARITY_THRESHOLD | 0.75-0.85 | Filter low-relevance general industry content, focus on specific operational data of the brand itself and competitors | |
MCP_SYNC_CRON | 0 0 2 1 | Trigger synchronization every Monday at 2:00 AM | Matches the weekly update rhythm of brand agency operation research reports, avoids frequent API calls and resource consumption |
GLOBAL_VAR_PASS_MODE | Carry via API request header | When publishing workflows externally, brand-specific variables can be passed via request headers to adapt to customized requirements of different agency clients |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three common configuration errors
- Text extraction tools prompt "field extraction failed". The cause is that exclusive field mapping rules for brand agency operation research reports are not configured, and the tool cannot recognize non-general fields such as follower growth and campaign ROI.
- When calling a model connected via OneAPI, a 401 status code is returned, prompting authentication failure. The cause is that the OneAPI key is only filled in the model configuration, and the complete interface address prefix is not supplemented, resulting in failed initiation of authentication requests.
- When an external platform calls a published workflow, default brand data is returned. The cause is that global variable transfer parameters are not configured in the external interface, so the workflow does not replace preset brand-specific variables.
- When uploading a research report, the prompt "unsupported file format" appears. The cause is that
UPLOAD_FILE_DEFAULT_FORMATis set to a fixed format, and the auto-detection mode is not enabled, making it impossible to support Excel-format operational data reports.
How to confirm the configuration is complete
- Upload an Excel sample of a brand agency operation research report, check if the analysis result includes exclusive fields such as follower growth and campaign ROI, with no format errors.
- Call the model connected via OneAPI, enter a test prompt containing "XX brand's monthly campaign ROI", check if accurate data from the corresponding research report is returned, with no authentication errors.
- Construct an external call request carrying brand-specific global variable parameters, check if the workflow return result matches the operational data of the corresponding brand.
- Manually trigger an MCP synchronization task, check if the latest research report data can be pulled normally, with no timeout or connection errors.
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.