create_comment

Create a comment on a specific Linear issue

SERVERLinear SOURCE@linear-mcp-server

Medium RISK CLASS

Category Write

Parameters 30 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity verified Pull the record →

This record as markdown: /tools/linear/create-comment.md

WHAT IT DOES

What create_comment does on Linear

AI agents use create_comment to create or update resources in Linear, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Linear environment.

Parameter	Type	Required	Description
`body`	string	—	The content of the comment as Markdown
`issueId`	string	—	The issue ID
`parentId`	string	—	A parent comment ID to reply to

Parameters from the server's own tool schema.

RISK

Why create_comment is rated Medium

This tool adds a new comment to an existing issue, which is a create operation that modifies state but does not irreversibly delete data, execute arbitrary code, or move money. It falls squarely under Write category. The severity is low because commenting on issues has minimal blast radius and no destructive consequences in a project management context.

From the tool's definition Tool name 'create_comment' and description 'Create a comment on a specific Linear issue' indicate the tool creates new data (a comment) that is reversible (comments can be edited or deleted).

Risk signalsAccepts raw HTML/template content (body)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_comment 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 create_comment, this is the rule to start with:

create_comment Rate-limited

create_comment stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_comment": {
      "limits": [
        {
          "counter": "create_comment_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Linear, apply this rule, and every create_comment call is checked against it from then on.

FAQ

Questions about create_comment

What does the create_comment tool do? +

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

What parameters does create_comment accept? +

create_comment accepts 3 parameters: body, issueId, parentId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_comment? +

Register the Linear MCP server in PolicyLayer and add a rule for create_comment: 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.

What risk level is create_comment? +

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

Can I rate-limit create_comment? +

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

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

create_comment 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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