list_text_evaluators

THE RISK

Low Risk

Why list_text_evaluators needs a policy

This tool queries and retrieves a static or semi-static list of evaluator names. It performs no modifications, deletions, code execution, or financial transactions. The operation is informational only, enabling discovery of available evaluators for downstream evaluation workflows. The blast radius if misused is minimal—an agent could only retrieve names, not alter evaluation systems or data.

From the tool's definition Tool name is 'list_text_evaluators' and description states it 'Returns a list of available text evaluator names' — a pure retrieval operation with no side effects.

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

POLICY

How to control list_text_evaluators

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_text_evaluators:

policy.json

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

list_text_evaluators 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

Execute deploy_model_on_ai_services deploy_model_on_ai_services Execute execute_dynamic_swagger_action Execute a dynamically generated tool from the Swagger specification. Args: Execute run_agent_eval Run agent evaluation on agent data. Accepts both plain text and JSON strings. Paramet Execute run_text_eval run_text_eval Execute agent_query_and_evaluate Query an agent and evaluate its response in a single operation. Parameters: - age Execute query_default_agent Send a query to the default configured Azure AI Agent. Parameters: - query: Text Execute connect_agent Connect to a specific Azure AI Agent and run a query. Parameters: - agent_id: ID Write create_azure_ai_services_account create_azure_ai_services_account

All 28 Azure AI Agent Service MCP Server tools →

Read tools on other servers

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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_text_evaluators

What does the list_text_evaluators tool do? +

Returns a list of available text evaluator names for evaluating text outputs. 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_text_evaluators? +

Register the Azure AI Agent Service MCP Server MCP server in PolicyLayer and add a rule for list_text_evaluators: 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_text_evaluators? +

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

Can I rate-limit list_text_evaluators? +

Yes. Add a rate_limit block to the list_text_evaluators 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_text_evaluators completely? +

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

list_text_evaluators 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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