get_deployment

Get details of a specific deployment

SERVERGitlab Mcp SOURCE@zereight/mcp-gitlab

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-zereight-gitlab-mcp/get-deployment.md

WHAT IT DOES

What get_deployment does on Gitlab Mcp

AI agents call get_deployment to retrieve information from Gitlab Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_deployment is rated Low

This tool retrieves information about a deployment without creating, modifying, deleting, or executing any operations. It is a straightforward query operation that reads deployment metadata and status information, posing minimal risk if misused by an AI agent.

From the tool's definition Tool name 'get_deployment' and description 'Get details of a specific deployment' indicate a retrieval operation with no modification or side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_deployment safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Gitlab Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_deployment, this is the rule to start with:

get_deployment Allowed

get_deployment is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_deployment": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Gitlab Mcp, apply this rule, and every get_deployment call is checked against it from then on.

FAQ

Questions about get_deployment

What does the get_deployment tool do? +

Get details of a specific deployment. It is categorised as a Read tool in the Gitlab Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_deployment? +

Register the Gitlab MCP server in PolicyLayer and add a rule for get_deployment: 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 Mcp. Nothing to install.

What risk level is get_deployment? +

get_deployment is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_deployment? +

Yes. Add a rate_limit block to the get_deployment 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.

How do I block get_deployment completely? +

Set action: deny in the PolicyLayer policy for get_deployment. 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.

What MCP server provides get_deployment? +

get_deployment is provided by the Gitlab MCP server (@zereight/mcp-gitlab). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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