Get favorite Linear views, including saved views and predefined views
AI agents call linear_getFavoriteViews 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 queries and retrieves data (favorite views) from the Linear system without modifying, creating, deleting, or executing any operations. It is a simple read operation with minimal blast radius if misused by an AI agent—the worst outcome would be exposure of view metadata the user already has access to.
From the tool's definition Tool name 'linear_getFavoriteViews' and description 'Get favorite Linear views, including saved views and predefined views' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access linear_getFavoriteViews gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Linear, and nothing reaches the server without passing your rules. This is the rule we recommend for linear_getFavoriteViews:
{
"version": "1",
"default": "deny",
"tools": {
"linear_getFavoriteViews": {}
}
}linear_getFavoriteViews is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get favorite Linear views, including saved views and predefined views. 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 linear_getFavoriteViews: 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.
linear_getFavoriteViews 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 linear_getFavoriteViews 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 linear_getFavoriteViews. 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.
linear_getFavoriteViews is provided by the Linear MCP server (tacticlaunch/mcp-linear). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 182 Linear tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
182 Linear tools catalogued and risk-classified — across an index of 42,500+ MCP servers.