List contacts
AI agents call list_contacts to retrieve information from Microsoft MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves contact data from Microsoft Graph API without creating, modifying, or deleting any records. It is a simple read operation with minimal blast radius—the only risk would be unauthorized access to contact information, which is mitigated by the authentication mechanism noted in sibling tools.
From the tool's definition Tool name 'list_contacts' and description 'List contacts' indicate a retrieval operation with no modification or deletion of data.
Attacks that exploit this kind of access
List contacts. It is categorised as a Read tool in the Microsoft MCP MCP Server, which means it retrieves data without modifying state.
Register the Microsoft MCP server in PolicyLayer and add a rule for list_contacts: 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 MCP. Nothing to install.
list_contacts 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_contacts 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_contacts. 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_contacts is provided by the Microsoft MCP server (purva-kashyap/microsoft-mcp). 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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