get_pipeline_run

[Pipeline Management] Get details of a specific pipeline run instance

SERVERAlibabacloud Devops SOURCEalibabacloud-devops-mcp-server

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/alibabacloud-devops/get-pipeline-run.md

WHAT IT DOES

What get_pipeline_run does on Alibabacloud Devops

AI agents call get_pipeline_run to retrieve information from Alibabacloud Devops without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_pipeline_run is rated Low

This tool retrieves and queries details about an existing pipeline run. It performs no mutations, does not execute code or operations, and does not delete or create resources. The operation is read-only and has minimal blast radius if misused—an AI agent could only over-query or access information it shouldn't, but cannot cause direct operational damage.

From the tool's definition Tool name 'get_pipeline_run' and description 'Get details of a specific pipeline run instance' indicate retrieval of pipeline execution information without modification or execution of operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_pipeline_run safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Alibabacloud Devops, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_pipeline_run, this is the rule to start with:

get_pipeline_run Allowed

get_pipeline_run is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_pipeline_run": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Alibabacloud Devops, apply this rule, and every get_pipeline_run call is checked against it from then on.

FAQ

Questions about get_pipeline_run

What does the get_pipeline_run tool do? +

[Pipeline Management] Get details of a specific pipeline run instance. It is categorised as a Read tool in the Alibabacloud Devops MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_pipeline_run? +

Register the Alibabacloud 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 Alibabacloud 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 Alibabacloud Devops MCP server (alibabacloud-devops-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Alibabacloud Devops, and thousands of servers like it.

This server

All 202 Alibabacloud Devops tools →

Across the catalogue

get_cocktail_by_category on Cocktails RAG MCP Server →get_torrent_detail on M-Team MCP Server →aiva_get_affiliate on AIVA MCP Server →get-chuck-categories on Jokes MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →