MCP-compatible function to retrieve all events for a specific finetuning job. It also returns the billing details. Returns: List of event details including timestamp and message.
AI agents call get_finetuning_job_events 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.
This is a Read operation—it queries and fetches data (finetuning job events and billing information) without modifying anything. Severity is medium rather than low because billing data access could expose sensitive financial information if logs are exfiltrated, though the tool itself performs no financial transactions.
From the tool's definition Tool retrieves events and billing details for a finetuning job ('retrieve all events for a specific finetuning job' and 'returns...billing details'). The verb 'retrieve' and return-only structure indicate read-only access with no mutations.
Documented attack patterns abuse exactly the kind of access get_finetuning_job_events 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 get_finetuning_job_events:
{
"version": "1",
"default": "deny",
"tools": {
"get_finetuning_job_events": {}
}
}get_finetuning_job_events is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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MCP-compatible function to retrieve all events for a specific finetuning job. It also returns the billing details. Returns: List of event details including timestamp and message. 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 get_finetuning_job_events: 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.
get_finetuning_job_events 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 get_finetuning_job_events 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 get_finetuning_job_events. 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.
get_finetuning_job_events 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.