list_agents · Azure AI Agent Service MCP Server MCP

WHAT IT DOES

What list_agents does on Azure AI Agent Service MCP Server

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

THE RISK

Low Risk

Why list_agents needs a policy

This tool performs a read-only enumeration of existing agents. It retrieves metadata about available agents but does not create, modify, delete, or execute any actions. The blast radius of misuse is minimal—an attacker gains only visibility into what agents exist, which is low-sensitivity metadata in most contexts.

From the tool's definition Tool name is 'list_agents' and description states it 'List available agents in the Azure AI Agent Service' — a pure query operation that retrieves information without modification or side effects.

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

POLICY

How to control list_agents

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

policy.json

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

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

Create a free account and register Azure AI Agent Service MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

Related tools and policies

More Azure AI Agent Service MCP Server tools

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All 28 Azure AI Agent Service MCP Server tools →

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about list_agents

What does the list_agents tool do? +

List available agents in the Azure AI Agent Service. It is categorised as a Read tool in the Azure AI Agent Service MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_agents? +

Register the Azure AI Agent Service MCP Server MCP server in PolicyLayer and add a rule for list_agents: 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 AI Agent Service MCP Server. Nothing to install.

What risk level is list_agents? +

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

Can I rate-limit list_agents? +

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

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

list_agents is provided by the Azure AI Agent Service MCP Server MCP server (microsoft-foundry/mcp-foundry). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Azure AI Agent Service MCP Server tool call.

Start from Azure AI Agent Service MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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28 Azure AI Agent Service MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.