create_pipeline_schedule_variable
Create a variable for a pipeline schedule
This record as markdown: /tools/io-github-zereight-gitlab-mcp/create-pipeline-schedule-variable.md
What create_pipeline_schedule_variable does on Gitlab Mcp
AI agents use create_pipeline_schedule_variable to create or update resources in Gitlab Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gitlab Mcp environment.
Why create_pipeline_schedule_variable is rated Medium
Creates configuration variables for CI/CD pipelines; reversible change with moderate blast radius if misconfigured.
From the tool's definition Create a variable for a pipeline schedule; modifies pipeline configuration.
Attacks that exploit this kind of access
The rule that runs create_pipeline_schedule_variable safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gitlab Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_pipeline_schedule_variable, this is the rule to start with:
create_pipeline_schedule_variable 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 Gitlab Mcp, apply this rule, and every create_pipeline_schedule_variable call is checked against it from then on.
Questions about create_pipeline_schedule_variable
Create a variable for a pipeline schedule. It is categorised as a Write tool in the Gitlab Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gitlab MCP server in PolicyLayer and add a rule for create_pipeline_schedule_variable: 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 Gitlab Mcp. Nothing to install.
create_pipeline_schedule_variable 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_schedule_variable 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_schedule_variable. 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_schedule_variable is provided by the Gitlab MCP server (@zereight/mcp-gitlab). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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