Read an item from a Cosmos DB container
AI agents call cosmosdb_item_read to retrieve information from Azure MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data from Cosmos DB without creating, modifying, or deleting resources. It is a straightforward query operation that poses minimal risk when misused by an AI agent, as it only exposes existing data within the specified container.
From the tool's definition Tool name contains 'read' and description states 'Read an item from a Cosmos DB container' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Read an item from a Cosmos DB container. It is categorised as a Read tool in the Azure MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Azure MCP Server MCP server in PolicyLayer and add a rule for cosmosdb_item_read: 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 MCP Server. Nothing to install.
cosmosdb_item_read 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 cosmosdb_item_read 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 cosmosdb_item_read. 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.
cosmosdb_item_read is provided by the Azure MCP Server MCP server (mashriram/azure_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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