get_pipeline_run

Get pipeline run details

Server MCP Server for Azure DevOps sepal7/mcp-ado
Category Read
Risk class Low
Parameters 00 required

What get_pipeline_run does on MCP Server for Azure DevOps

AI agents call get_pipeline_run to retrieve information from MCP Server for Azure DevOps without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_pipeline_run needs a policy

This tool retrieves information about a pipeline execution without modifying, executing, or deleting any data. It falls squarely in the Read category as a query operation. The blast radius of misuse is minimal—an AI agent retrieving pipeline run details cannot trigger unwanted builds, modify deployments, or affect system state.

From the tool's definition Tool name 'get_pipeline_run' combined with description 'Get pipeline run details' indicates data retrieval only.

Questions about get_pipeline_run

What does the get_pipeline_run tool do? +

Get pipeline run details. It is categorised as a Read tool in the MCP Server for Azure DevOps MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_pipeline_run? +

Register the MCP Server for Azure DevOps MCP server in PolicyLayer and add a rule for get_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 MCP Server for Azure DevOps. Nothing to install.

What risk level is get_pipeline_run? +

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

Can I rate-limit get_pipeline_run? +

Yes. Add a rate_limit block to the get_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_pipeline_run completely? +

Set action: deny in the PolicyLayer policy for get_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_pipeline_run? +

get_pipeline_run is provided by the MCP Server for Azure DevOps MCP server (sepal7/mcp-ado). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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