Get a complete pipeline investigation summary: pipeline details, jobs grouped by stage, and log tails for failed jobs — all in one call
AI agents call get_pipeline_summary to retrieve information from Gitlab without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves pipeline metadata, job information, and log data for investigation purposes. It performs no writes, deletions, code execution, or financial operations. The data retrieval has minimal blast radius; misuse would only expose CI/CD pipeline information already accessible to users with pipeline visibility permissions.
From the tool's definition Tool description states 'Get a complete pipeline investigation summary: pipeline details, jobs grouped by stage, and log tails for failed jobs' — uses 'Get' verb and retrieves/queries pipeline data and logs without modification.
Documented attack patterns abuse exactly the kind of access get_pipeline_summary gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gitlab, and nothing reaches the server without passing your rules. This is the rule we recommend for get_pipeline_summary:
{
"version": "1",
"default": "deny",
"tools": {
"get_pipeline_summary": {}
}
} get_pipeline_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get a complete pipeline investigation summary: pipeline details, jobs grouped by stage, and log tails for failed jobs — all in one call. It is categorised as a Read tool in the Gitlab MCP Server, which means it retrieves data without modifying state.
Register the Gitlab MCP server in PolicyLayer and add a rule for get_pipeline_summary: 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. Nothing to install.
get_pipeline_summary 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 get_pipeline_summary 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 get_pipeline_summary. 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.
get_pipeline_summary is provided by the Gitlab MCP server (yoda-digital/mcp-gitlab-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 88 Gitlab tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
88 Gitlab tools catalogued and risk-classified — across an index of 42,500+ MCP servers.