create_pipeline_from_description
[Pipeline Management] Create a pipeline using structured parameters extracted from user descriptions and environment context.\n\n
This record as markdown: /tools/alibabacloud-devops/create-pipeline-from-description.md
What create_pipeline_from_description does on Alibabacloud Devops
AI agents use create_pipeline_from_description to create or update resources in Alibabacloud Devops, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Alibabacloud Devops environment.
Why create_pipeline_from_description is rated Medium
Creating a pipeline is a Write operation—it creates new configuration/data structures in the DevOps system. While pipelines can orchestrate deployments, the tool itself only creates the pipeline definition, not executing actual deployments or destructive operations.
From the tool's definition Tool name contains 'create' and description states 'Create a pipeline' which creates a new artifact in the development pipeline system. This is a reversible creation operation.
Attacks that exploit this kind of access
The rule that runs create_pipeline_from_description 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 create_pipeline_from_description, this is the rule to start with:
create_pipeline_from_description stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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 create_pipeline_from_description call is checked against it from then on.
Questions about create_pipeline_from_description
[Pipeline Management] Create a pipeline using structured parameters extracted from user descriptions and environment context.\n\n. It is categorised as a Write tool in the Alibabacloud Devops MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Alibabacloud Devops MCP server in PolicyLayer and add a rule for create_pipeline_from_description: 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.
create_pipeline_from_description is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_pipeline_from_description 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 create_pipeline_from_description. 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.
create_pipeline_from_description 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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