Add a comment to an issue in Linear
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Part of the Linear MCP Server server.
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AI agents use linear_createComment 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_createComment 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.
{
"version": "1",
"default": "deny",
"tools": {
"linear_createComment": {
"limits": [
{
"counter": "linear_createcomment_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Linear MCP Server policy for all 32 tools.
These attack patterns abuse exactly the kind of access linear_createComment gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Add a comment to an issue in Linear. 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.
Register the Linear MCP Server MCP server in PolicyLayer and add a rule for linear_createComment: 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.
linear_createComment is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the linear_createComment 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_createComment. 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_createComment 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.
Deterministic rules across all 32 Linear MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.