AI agents call project_issues 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 a list of issues from a Linear project. It performs a read-only query operation with no side effects—it does not create, modify, delete, or execute any operations. The action is non-destructive and informational only.
From the tool's definition Tool name 'project_issues' and description 'Get all issues in a project in Linear' indicate retrieval/query of existing data with no modification or deletion.
Attacks that exploit this kind of access
Get all issues in a project in Linear. 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 project_issues: 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.
project_issues 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 project_issues 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 project_issues. 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.
project_issues 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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