Low Risk

get_repository_tree

Displays a hierarchical tree view of files and directories within a single repository starting from an optional path

How to control get_repository_tree ↓

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

Low Risk

This tool retrieves and presents repository file structure without modifying, deleting, or executing any code. It is a read-only query operation analogous to 'ls' or 'find' commands. The blast radius of misuse is minimal—an agent could map repository structure but cannot alter code, trigger deployments, or access file contents (per sibling tool get_file_content being separate). Classified as Read with low severity.

From the tool's definition Tool displays a hierarchical tree view of files and directories within a repository. Keywords: 'Displays', 'tree view', 'read-only introspection of repository structure'.

Documented attack patterns abuse exactly the kind of access get_repository_tree gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Azure DevOps MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_repository_tree:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_repository_tree": {}
  }
}

get_repository_tree is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Azure DevOps MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the get_repository_tree tool do? +

Displays a hierarchical tree view of files and directories within a single repository starting from an optional path. It is categorised as a Read tool in the Azure DevOps MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_repository_tree? +

Register the Azure DevOps MCP Server MCP server in PolicyLayer and add a rule for get_repository_tree: 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 Azure DevOps MCP Server. Nothing to install.

What risk level is get_repository_tree? +

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

Can I rate-limit get_repository_tree? +

Yes. Add a rate_limit block to the get_repository_tree 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_repository_tree completely? +

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

get_repository_tree is provided by the Azure DevOps MCP Server MCP server (tiberriver256/mcp-server-azure-devops). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Azure DevOps MCP Server tool call.

Deterministic rules across all 42 Azure DevOps MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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42 Azure DevOps MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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