Low Risk

outlook_search_messages

Search email messages using Microsoft Graph $search query syntax. Searches across subject, body, and other fields.

How to control outlook_search_messages ↓

AI agents call outlook_search_messages to retrieve information from Sage MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Email search is fundamentally a read operation that queries and retrieves data without side effects. Severity is medium rather than low because email often contains sensitive personal, financial, or business information (credentials, health details, financial statements), and an AI agent with unconstrained search could aggregate and exfiltrate substantial volumes of sensitive data.

From the tool's definition Tool name 'outlook_search_messages' and description 'Search email messages' indicate retrieval of email data with no modification capability. The scope includes 'subject, body, and other fields' confirming query-only operations.

Documented attack patterns abuse exactly the kind of access outlook_search_messages gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Sage MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for outlook_search_messages:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "outlook_search_messages": {}
  }
}

outlook_search_messages is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Sage MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the outlook_search_messages tool do? +

Search email messages using Microsoft Graph $search query syntax. Searches across subject, body, and other fields. It is categorised as a Read tool in the Sage MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on outlook_search_messages? +

Register the Sage MCP server in PolicyLayer and add a rule for outlook_search_messages: 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 Sage MCP. Nothing to install.

What risk level is outlook_search_messages? +

outlook_search_messages is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit outlook_search_messages? +

Yes. Add a rate_limit block to the outlook_search_messages 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.

How do I block outlook_search_messages completely? +

Set action: deny in the PolicyLayer policy for outlook_search_messages. 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.

What MCP server provides outlook_search_messages? +

outlook_search_messages is provided by the Sage MCP server (sagemcp/sagemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Sage MCP tool call.

Deterministic rules across all 359 Sage MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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359 Sage MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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