list_pipelines
[Pipeline Management] Get a list of pipelines in an organization with filtering options
This record as markdown: /tools/alibabacloud-devops/list-pipelines.md
What list_pipelines does on Alibabacloud Devops
AI agents call list_pipelines 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.
Why list_pipelines is rated Low
This tool retrieves pipeline information from the DevOps system without modifying, executing, or deleting anything. It is purely informational (Read category). Severity is low because listing pipelines is a standard query operation with no destructive or sensitive write capability—it reads existing metadata that would typically be visible to authenticated DevOps users.
From the tool's definition Tool name is 'list_pipelines' with description 'Get a list of pipelines in an organization with filtering options'. The verb 'list' and 'get' indicate data retrieval with no side effects.
Attacks that exploit this kind of access
The rule that runs list_pipelines 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 list_pipelines, this is the rule to start with:
list_pipelines is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Alibabacloud Devops, apply this rule, and every list_pipelines call is checked against it from then on.
Questions about list_pipelines
[Pipeline Management] Get a list of pipelines in an organization with filtering options. It is categorised as a Read tool in the Alibabacloud Devops MCP Server, which means it retrieves data without modifying state.
Register the Alibabacloud Devops MCP server in PolicyLayer and add a rule for list_pipelines: 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.
list_pipelines is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_pipelines 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.
Set action: deny in the PolicyLayer policy for list_pipelines. 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.
list_pipelines 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.
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