创建一个新的 Pipeline(任务流水线)。Pipeline 是任务的有序容器,可添加质量门进行阶段性质量检查。
AI agents use create_pipeline to create or update resources in Agent-Comm-Hub — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent-Comm-Hub environment.
This tool creates a new persistent data structure (a Pipeline) within the system. While creation is reversible (the pipeline could be deleted), it modifies system state by adding a new workflow container. This is Write-category behavior as it creates new data structures without executing arbitrary code, deleting data, or moving money.
From the tool's definition Tool creates a new Pipeline (任务流水线 - task pipeline) which is described as an ordered container for tasks. The verb 'create' and the description 'create a new Pipeline' indicate data creation/initialization.
Attacks that exploit this kind of access
创建一个新的 Pipeline(任务流水线)。Pipeline 是任务的有序容器,可添加质量门进行阶段性质量检查。. It is categorised as a Write tool in the Agent-Comm-Hub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent-Comm-Hub MCP server in PolicyLayer and add a rule for create_pipeline: 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 Agent-Comm-Hub. Nothing to install.
create_pipeline 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 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. 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 is provided by the Agent-Comm-Hub MCP server (liuboacean/agent-comm-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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