gh_workflow_view · GitHub CLI MCP Server MCP: Risk & Policy

WHAT IT DOES

What gh_workflow_view does on GitHub CLI MCP Server

AI agents call gh_workflow_view to retrieve information from GitHub CLI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

WHY IT NEEDS A POLICY

Why gh_workflow_view needs a policy

This tool retrieves workflow metadata and details for display purposes only. The verb 'view' signifies a query operation with no side effects, no code execution, and no data modification. It is a straightforward information retrieval operation.

From the tool's definition Tool name 'gh_workflow_view' and description 'View details about a workflow' indicate a read-only operation that retrieves and displays workflow information without modification or execution.

Attacks that exploit this kind of access

Questions about gh_workflow_view

What does the gh_workflow_view tool do? +

View details about a workflow. It is categorised as a Read tool in the GitHub CLI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on gh_workflow_view? +

Register the GitHub CLI MCP Server MCP server in PolicyLayer and add a rule for gh_workflow_view: 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 GitHub CLI MCP Server. Nothing to install.

What risk level is gh_workflow_view? +

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

Can I rate-limit gh_workflow_view? +

Yes. Add a rate_limit block to the gh_workflow_view 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 gh_workflow_view completely? +

Set action: deny in the PolicyLayer policy for gh_workflow_view. 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 gh_workflow_view? +

gh_workflow_view is provided by the GitHub CLI MCP Server MCP server (munch-group/gh-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.