Search for issues and discussions in CERN GitLab projects.
AI agents call search_issues 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 queries existing issue data from GitLab repositories. It has no side effects, does not modify data, execute code, delete records, or commit financial transactions. It is a standard read operation similar to searching or listing data, placing it squarely in the Read category with low severity since misuse would only expose existing information without causing harm.
From the tool's definition Tool name 'search_issues' and description 'Search for issues and discussions in CERN GitLab projects' indicate a query/retrieval operation with no modification or execution capability.
Attacks that exploit this kind of access
Search for issues and discussions in CERN GitLab projects. 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 search_issues: 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.
search_issues 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 search_issues 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 search_issues. 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.
search_issues 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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