get_model_details_and_code_samples

THE RISK

Low Risk

Why get_model_details_and_code_samples needs a policy

This is a query/fetch operation that retrieves catalog metadata about models. It performs no modifications, deletions, code execution, or financial transactions. The tool reads and returns information from the Azure AI Foundry catalog based on a model name parameter.

From the tool's definition Tool description states it 'Retrieves detailed information for a specific model' and 'fetches the model's metadata, capabilities, descriptions' — purely retrieval operations with no side effects on data.

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

POLICY

How to control get_model_details_and_code_samples

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 get_model_details_and_code_samples:

policy.json

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

get_model_details_and_code_samples 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.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

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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 get_model_details_and_code_samples

What does the get_model_details_and_code_samples tool do? +

Retrieves detailed information for a specific model from the Azure AI Foundry catalog. This function is used when a user requests detailed information about a particular model in the Foundry catalog. It fetches the model's metadata, capabilities, descriptions, and other relevant details associated with the given asset ID. It is important that you provide the user a link to more information for compliance reasons. Use the link provided. Parameters: model_name (str): The name of the model whose details are to be retrieved. This is a required parameter. ctx (Context): The context of the current session, containing metadata about the request and session. Returns: dict: A dictionary containing the model's detailed information, including: - model name, version, framework, tags, datasets - model URL and storage location - model capabilities (e.g., agents, assistants, reasoning, tool-calling) - description, summary, and key capabilities - publisher information, licensing details, and terms of use - model creation and modification times - variant information, model metadata, and system requirements - link to more information about the model Usage: Call this function when you need to retrieve detailed information about a model using its asset ID. This is useful when users inquire about a model's features, or when specific metadata about a model is required. 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 get_model_details_and_code_samples? +

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

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

Can I rate-limit get_model_details_and_code_samples? +

Yes. Add a rate_limit block to the get_model_details_and_code_samples 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_model_details_and_code_samples completely? +

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

get_model_details_and_code_samples 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.