Get detailed information about a specific release from a CERN GitLab repository.
AI agents call get_release to retrieve information from CERN GitLab MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays release information from a repository—a standard read operation with no side effects. It does not create, modify, delete, or execute anything. The blast radius of misuse is minimal, as an LLM agent could only over-query or retrieve information it shouldn't see, but cannot harm systems or data.
From the tool's definition Tool name 'get_release' and description 'Get detailed information about a specific release' indicate a read-only retrieval operation that queries release metadata without modifying or executing anything.
Attacks that exploit this kind of access
Get detailed information about a specific release from a CERN GitLab repository. It is categorised as a Read tool in the CERN GitLab MCP Server MCP Server, which means it retrieves data without modifying state.
Register the CERN GitLab MCP Server MCP server in PolicyLayer and add a rule for get_release: 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 CERN GitLab MCP Server. Nothing to install.
get_release 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_release 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_release. 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_release is provided by the CERN GitLab MCP Server MCP server (mohamedelashri/cerngitlab-mcp). 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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