This record as markdown: /tools/linear/list-my-issues.md
What list_my_issues does on Linear
AI agents call list_my_issues to retrieve information from Linear without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
after | string | — | An ID to start from |
limit | number | — | The number of results to return (Max is 250) |
before | string | — | An ID to end at |
orderBy | string | — | The order in which to return results |
Parameters from the server's own tool schema.
Why list_my_issues is rated Low
This tool retrieves a filtered list of issues belonging to the authenticated user. It performs a read-only query against the Linear API with no capability to create, modify, or delete data. The blast radius of misuse is minimal — an attacker could only view issues already assigned to that user account, which is typically already visible in the UI.
From the tool's definition Tool name is 'list_my_issues' and description states 'List issues assigned to the current user' — a clear query/retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs list_my_issues safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Linear, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_my_issues, this is the rule to start with:
list_my_issues is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Linear, apply this rule, and every list_my_issues call is checked against it from then on.
Questions about list_my_issues
List issues assigned to the current user. It is categorised as a Read tool in the Linear MCP Server, which means it retrieves data without modifying state.
list_my_issues accepts 4 parameters: after, limit, before, orderBy. The full parameter table on this page comes from the server's own tool schema.
Register the Linear MCP server in PolicyLayer and add a rule for list_my_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.
list_my_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 list_my_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 list_my_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.
list_my_issues is provided by the Linear MCP server (@linear-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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