Execute multiple Microsoft Graph API requests in a single batch call (max 20). Use this for bulk operations like creating folder trees, sending multiple requests, or any scenario requiring many Graph API calls. Individual request failures don
AI agents invoke microsoft_graph_batch to trigger actions in Microsoft Graph MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
While the tool itself is a mechanism for batching requests rather than a direct action, the description indicates it executes unspecified Microsoft Graph API operations whose effects depend entirely on the arguments passed. This matches the Execute category—it triggers external operations (Graph API calls) whose consequences are argument-dependent.
From the tool's definition Tool executes multiple Microsoft Graph API requests in a single batch call; description explicitly states it enables bulk operations like 'creating folder trees' and 'sending multiple requests.' The ability to execute arbitrary Graph API calls (unspecified in…
Attacks that exploit this kind of access
Execute multiple Microsoft Graph API requests in a single batch call (max 20). Use this for bulk operations like creating folder trees, sending multiple requests, or any scenario requiring many Graph API calls. Individual request failures don. It is categorised as a Execute tool in the Microsoft Graph MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Microsoft Graph MCP Server MCP server in PolicyLayer and add a rule for microsoft_graph_batch: 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 Microsoft Graph MCP Server. Nothing to install.
microsoft_graph_batch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the microsoft_graph_batch 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 microsoft_graph_batch. 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.
microsoft_graph_batch is provided by the Microsoft Graph MCP Server MCP server (sapientsai/microsoft-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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