Tool Calling and Plugin for In-Terminal Natural Language

What Data for This Category Looks Like

Historical query record data originates from natural language search interaction logs initiated by end users within the terminal. It includes user query requests, associated matching result information, operation timestamps, and session identifiers. Data is written to storage in real time each time a user completes a search, with no fixed batch synchronization cycle. Each record uses a standardized JSON structure with five core fields: query_time (ISO 8601 format timestamp), query_content (plain text query content), result_ids (matching result identifiers in string array format), user_unique_id (unique user identifier), and session_id (unique session identifier). No additional nested levels are present.

What Constraints Do These Characteristics Impose on Tool Calling and Plugin Workflows

Since data comes from exclusive user interaction logs, tool calling and plugins must connect to internal exclusive historical record storage interfaces, and cannot reuse third-party data sources for general document search. The real-time update feature requires plugins to support single incremental pull or pulling latest records by session, to avoid performance loss caused by full pull operations. The fields include user and session identifiers, so plugin configurations must support filtering by user_unique_id or session_id to ensure data isolation meets business compliance requirements. Additionally, query content uses plain text format, so plugin input parameters must be compatible with natural language query formats, with no mandatory structured input required.

How to Configure Settings

Configuration Item	Recommended Value	Rationale
`mcp_api_endpoint`	Internal historical query log interface address	Connect to the exclusive historical record storage service to avoid cross-service permission issues
`mcp_request_timeout`	`30 seconds`	Historical query log interfaces return small data volumes, so timeout settings should not be overly long
`filter_user_scope`	`Current session user_unique_id`	Align with business rules that isolate historical records by user, to prevent cross-user data leaks
`max_history_fetch_count`	`Top 10 entries`	In-terminal search context should not be excessively long, to avoid exceeding model context window limits
`response_schema`	`{"query_time":"string","query_content":"string","result_ids":"array"}`	Align with the standard field structure of historical records to facilitate model parsing of returned content
`auto_retry_times`	`2 retries`	Handle temporary interface jitters, to prevent search interruptions caused by a single failed call

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Failed parsing of numeric fields when calling MCP plugins. Cause: Numeric type field formats are not declared in response_schema, causing the model to fail to correctly recognize returned numeric content.
Plugin confirmation flow fails to trigger after creating a plugin via CURL. Cause: The request body does not include required plugin_display_name or api_auth_type fields, so front-end validation fails and the confirmation button cannot be displayed.
Third-party calls to published APIs return permission denied prompts. Cause: api_auth_type is not configured as token_auth and a valid access key is not bound, causing interface permission verification to fail.

How to Confirm Configuration Is Successful

Navigate to the plugin debugging page, enter the current user's user_unique_id and session_id, run a debug call, and check if the returned results include matching historical records.
Pass a valid access key when calling the API interface, check if the returned HTTP status code matches expectations, and if returned fields align with the configured response_schema.
Add an MCP plugin node to a workflow, trigger a test run, and check if workflow logs include historical record content returned by the plugin.
Adjust the max_history_fetch_count parameter, observe changes in the number of returned results, and confirm the parameter configuration takes effect.

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.