Get a single release by tag name.
AI agents call get_release_tool to retrieve information from MCP Gitlab without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves release information by querying a release tag. It is purely informational, does not modify state, and has no destructive or operational side effects. The blast radius of misuse is minimal—an attacker could only access existing release metadata. This is a standard Read operation.
From the tool's definition Tool name 'get_release_tool' and description 'Get a single release by tag name' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get a single release by tag name. It is categorised as a Read tool in the MCP Gitlab MCP Server, which means it retrieves data without modifying state.
Register the MCP Gitlab MCP server in PolicyLayer and add a rule for get_release_tool: 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 MCP Gitlab. Nothing to install.
get_release_tool 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_tool 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_tool. 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_tool is provided by the MCP Gitlab MCP server (mcp-gitlab-crunchtools). 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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