AI agents call list_finetuning_files 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 tool name suggests it retrieves a list of finetuning files, which is a non-destructive, informational operation consistent with Read category. However, confidence is moderate (0.7) rather than high because the description is empty and we cannot confirm the exact scope or whether it has any side effects. The absence of verbs like 'create', 'delete', 'execute', or 'deploy' suggests read-only behavior.
From the tool's definition Tool name 'list_finetuning_files' indicates a listing/retrieval operation. The 'list' verb typically denotes a read-only query that retrieves information about finetuning files without modifying state.
Documented attack patterns abuse exactly the kind of access list_finetuning_files gives an agent:
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_finetuning_files:
{
"version": "1",
"default": "deny",
"tools": {
"list_finetuning_files": {}
}
}list_finetuning_files is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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list_finetuning_files. 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.
Register the Azure AI Agent Service MCP Server MCP server in PolicyLayer and add a rule for list_finetuning_files: 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.
list_finetuning_files is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_finetuning_files 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.
Set action: deny in the PolicyLayer policy for list_finetuning_files. 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.
list_finetuning_files 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.
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.