Data Characteristics
Dermatology protocols and SOP documents originate from internal regulations of hospitals, pharmaceutical companies, and medical device manufacturers. They also include clinical practice guidelines published by national health commissions and consensus documents from industry associations. These documents are typically stored as PDFs, Word files, or structured XML/JSON. Update frequencies vary; national guidelines may update annually or every few years, while internal hospital SOPs might be revised quarterly or semi-annually based on new technologies or medications. Document structures commonly include chapter titles, body text, figures, tables, references, and appendices. Fields and units are highly specialized, such as drug dosages (mg/kg), treatment durations (weeks/months), diagnostic criteria (mm, cm²), and assessment scale scores.
Constraints Imposed by Data Characteristics on Tool Calling and Plugins
The specialized and structured nature of dermatology protocol documents places specific demands on tool calling and plugins. For example, querying drug dosages requires plugins to understand and process unit conversions. Queries for diagnostic criteria may involve multi-field matching and numerical range evaluations. Varying document update frequencies mean tool calling must support version management to ensure query results are based on the latest or a specified version of the protocol. Additionally, if information needs to be extracted from figures, tables, and references within documents, plugins require image recognition or link parsing capabilities. When a protocol involves multiple steps, tool calling needs to chain multiple data points to simulate decision paths, requiring stronger logical processing capabilities from plugins.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 4000 token | Balances context length and response speed. Avoids call failures due to excessively long input. |
toolCallTimeout | 600 seconds | Accommodates potential delays from complex queries and external API calls. |
pluginRetryCount | 3 times | Improves plugin call success rates against network fluctuations or transient external service failures. |
streamOutput | false | Prevents streaming tool execution logs in the response, improving user experience. |
responseMode | tool_message | Ensures tool call results are returned as structured messages for subsequent processing. |
maxTokens | 1024 token | Limits plugin output length, preventing excessive resource consumption from overly long output. |
Common Pitfalls
- The tool calling module repeatedly outputs execution logs. This usually happens when the
streamOutputparameter is not set tofalse, causing intermediate step information to be output directly. - Slow response times after calling external tools can indicate that the
toolCallTimeoutparameter is set too short, ormaxTokensis too large, leading the model to wait or generate excessively long content. - Plugins fail to correctly parse specialized terminology or units in documents. This manifests as empty or inaccurate results. The reason is that the plugin is not adapted for dermatology-specific data fields and units and lacks appropriate parsing logic.
Verification Steps
- Simulate actual queries. Check if tool calls accurately return the dosage ranges for specific drugs in dermatology protocols. Compare results with original documents to confirm numerical values and units.
- Verify that after protocol documents are updated, re-indexing the knowledge base and executing queries ensures tool call results reflect the latest version.
- Test how plugins handle queries involving figures or references. Confirm if they correctly identify and indicate an inability to process such information, or if they successfully extract key information via specific plugins.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.