Medium Risk

linear_addIssueToCycle

Add an issue to a cycle

Part of the Linear MCP Server server.

linear_addIssueToCycle can modify Linear MCP Server data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use linear_addIssueToCycle to create or modify resources in Linear MCP Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call linear_addIssueToCycle repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Linear MCP Server.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "linear_addIssueToCycle": {
      "limits": [
        {
          "counter": "linear_addissuetocycle_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Linear MCP Server policy for all 32 tools.

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These attack patterns abuse exactly the kind of access linear_addIssueToCycle gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so linear_addIssueToCycle only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the linear_addIssueToCycle tool do? +

Add an issue to a cycle. It is categorised as a Write tool in the Linear MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on linear_addIssueToCycle? +

Register the Linear MCP Server MCP server in PolicyLayer and add a rule for linear_addIssueToCycle: 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 MCP Server. Nothing to install.

What risk level is linear_addIssueToCycle? +

linear_addIssueToCycle is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit linear_addIssueToCycle? +

Yes. Add a rate_limit block to the linear_addIssueToCycle 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 linear_addIssueToCycle completely? +

Set action: deny in the PolicyLayer policy for linear_addIssueToCycle. 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 linear_addIssueToCycle? +

linear_addIssueToCycle is provided by the Linear MCP Server MCP server (emmett-deen/linear-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Linear MCP Server tool call.

Deterministic rules across all 32 Linear MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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