get_app_release_stage_pipeline_run

Get the Flow pipeline run associated with an AppStack release stage execution. Pipeline runs show CI/CD pipeline execution details.

Server Yunxiao @futuretea/yunxiao-mcp-server
Category Read
Risk class Low
Parameters 54 required

What get_app_release_stage_pipeline_run does on Yunxiao

AI agents call get_app_release_stage_pipeline_run to retrieve information from Yunxiao without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
appName string Yes Application name. Use list_applications to discover valid app names.
organizationId string Yunxiao organization ID. When omitted, the server uses the user's default organization.
releaseStageSn string Yes Release stage serial number. Use list_app_release_stage_briefs to discover valid values.
executionNumber string Yes Release stage execution number. Use list_app_release_stage_runs to discover valid values.
releaseWorkflowSn string Yes Release workflow serial number. Use list_app_release_workflows to discover valid values.

Parameters from the server's own tool schema.

Why get_app_release_stage_pipeline_run needs a policy

This tool queries and retrieves CI/CD pipeline execution metadata and status information from the Yunxiao DevOps platform. The verb 'Get' and the descriptive nature ('show details') indicate a read-only data retrieval operation with no side effects.

From the tool's definition Tool description states it 'Get[s] the Flow pipeline run' and 'show[s] CI/CD pipeline execution details' — purely retrieval operations with no modification, deletion, or execution of external systems.

Questions about get_app_release_stage_pipeline_run

What does the get_app_release_stage_pipeline_run tool do? +

Get the Flow pipeline run associated with an AppStack release stage execution. Pipeline runs show CI/CD pipeline execution details. It is categorised as a Read tool in the Yunxiao MCP Server, which means it retrieves data without modifying state.

What parameters does get_app_release_stage_pipeline_run accept? +

get_app_release_stage_pipeline_run accepts 5 parameters: appName, organizationId, releaseStageSn, executionNumber, releaseWorkflowSn. Required: appName, releaseStageSn, executionNumber, releaseWorkflowSn. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on get_app_release_stage_pipeline_run? +

Register the Yunxiao MCP server in PolicyLayer and add a rule for get_app_release_stage_pipeline_run: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Yunxiao. Nothing to install.

What risk level is get_app_release_stage_pipeline_run? +

get_app_release_stage_pipeline_run is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_app_release_stage_pipeline_run? +

Yes. Add a rate_limit block to the get_app_release_stage_pipeline_run rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_app_release_stage_pipeline_run completely? +

Set action: deny in the PolicyLayer policy for get_app_release_stage_pipeline_run. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_app_release_stage_pipeline_run? +

get_app_release_stage_pipeline_run is provided by the Yunxiao MCP server (@futuretea/yunxiao-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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