AI agents call get_viewer to retrieve information from Linear without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user profile information and team membership data. It performs a read-only query operation with no capability to modify, delete, or execute external actions. The blast radius of misuse is minimal—an agent could learn the current user's identity and teams, but cannot escalate privileges or affect other resources. Classified as Read/low severity.
From the tool's definition Tool name 'get_viewer' and description 'Get current user information including teams' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get current user information including teams. It is categorised as a Read tool in the Linear MCP Server, which means it retrieves data without modifying state.
Register the Linear MCP server in PolicyLayer and add a rule for get_viewer: 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 Linear. Nothing to install.
get_viewer 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_viewer 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_viewer. 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_viewer is provided by the Linear MCP server (mkusaka/mcp-server-linear). 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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