AI agents invoke gitlab_pipeline_schedules to trigger actions in Gitlab Api. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Pipeline schedules in GitLab are used to trigger CI/CD pipelines on a schedule. Managing pipeline schedules could involve creating, updating, deleting, or triggering pipeline executions — which constitutes executing external operations. However, the description is empty, so the tool may only read/list schedules.
From the tool's definition Tool name 'gitlab_pipeline_schedules' on a GitLab API server; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access gitlab_pipeline_schedules gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gitlab Api, and nothing reaches the server without passing your rules. This is the rule we recommend for gitlab_pipeline_schedules:
{
"version": "1",
"default": "deny",
"tools": {
"gitlab_pipeline_schedules": {
"limits": [
{
"counter": "gitlab_pipeline_schedules_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}gitlab_pipeline_schedules stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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gitlab_pipeline_schedules. It is categorised as a Execute tool in the Gitlab Api MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gitlab Api MCP server in PolicyLayer and add a rule for gitlab_pipeline_schedules: 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 Api. Nothing to install.
gitlab_pipeline_schedules is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the gitlab_pipeline_schedules 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 gitlab_pipeline_schedules. 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.
gitlab_pipeline_schedules is provided by the Gitlab Api MCP server (knuckles-team/gitlab-api). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Gitlab Api, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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26 Gitlab Api tools catalogued and risk-classified — across an index of 43,000+ MCP servers.