Tool Calling and Plugins for an Internal Office Assistant

Data Characteristics for This Category

Talent report query scenarios primarily use data from internal Human Resources Information Systems (HRIS), Applicant Tracking Systems (ATS), and some external public talent pools. Data update frequency typically falls into two categories: core employee data, such as basic information and position changes, may update monthly or quarterly; recruitment candidate data updates in real-time or daily as part of the recruitment process. Document structures are mainly semi-structured or structured data, such as JSON API responses or database records. Key fields include name, employee ID, department, position, start date, performance rating, skill tags, project experience, education background, and resume parsing results for external candidates. For units, performance ratings are often expressed as A/B/C grades or percentage scores, and salary information uses currency units (e.g., RMB) and annual/monthly periods.

Constraints Imposed by These Characteristics on "Tool Calling and Plugins"

The discrete nature of talent report data requires precise matching of different data source interfaces for tool calls. For example, querying information for current employees requires calling the HRIS API, while querying external candidates requires calling the ATS API. Differences in data update frequency mean that plugin caching strategies must vary. For highly time-sensitive recruitment data, cache times should be short or even non-existent. For less frequently updated employee archives, cache periods can be extended. Semi-structured data demands robust JSON parsing capabilities from plugins to handle missing fields or type inconsistencies in API responses. Standardization of field names and units is crucial for constructing effective query parameters and displaying results, for example, ensuring consistent currency units during salary queries to avoid unit-related errors.

Configuration Settings

Configuration Item	Suggested Value	Rationale
`maxContext`	`2048`	Ensures the capacity to handle complex talent report query requests and return results, preventing truncation of critical information.
`PARSE_FILE_TIMEOUT_SECONDS`	`60` seconds	Allows sufficient processing time, considering the potential need to parse large resume files.
`Chunk size` (Segment Length)	`500` characters	Balances semantic integrity with retrieval efficiency, avoiding segments that are too long or too short.
`Recall count` (Recall Count)	`10` items	Retrieves enough potentially relevant results in the initial recall phase to provide a basis for subsequent reranking.
`Similarity threshold` (Similarity Threshold)	`0.78`	Ensures high relevance between recalled results and the query intent, reducing noise data.
`Plugin API Timeout` (Plugin API Timeout)	`30` seconds	Balances external system response speed with user waiting experience, preventing prolonged unresponsiveness.

Common Pitfalls

Calling an external recruitment system API returns a 403 Forbidden error code. This typically indicates incorrect API key or access credential configuration, or missing necessary permissions.
Key talent information fields (e.g., 项目经验 - project experience) are empty in the LLM model's returned results. This can happen if the document parsing tool fails to correctly extract structured information when processing specific resume formats.
Data returned after a plugin calls the HRIS interface does not match expectations, for example, incorrect salary units. This occurs when the tool definition does not explicitly specify or convert data field units.

How to Verify Configuration

Perform tests for different query scenarios (e.g., "query recently onboarded employees in Department A" and "query external candidates with Python skills") to verify the accuracy and completeness of the returned results.
Examine tool call logs to confirm that API request parameters and response data conform to the expected data structure and business logic, paying particular attention to status_code.
Conduct stress tests using simulated or real anonymized data to observe the plugin's response time and stability under concurrent requests, ensuring the Plugin API Timeout (Plugin API Timeout) is set appropriately.
Randomly select multiple talent reports to verify if the parsing tool correctly extracts all key fields, such as education background and skill tags.

Note: 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.