Velog 포스트 좋아요를 취소합니다.
AI agents use velog_unlike_post to create or update resources in Velog — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Velog environment.
This tool removes a like/upvote from a post, which is a metadata write operation. It is reversible (the like can be re-added), does not destroy data, does not execute arbitrary code, and carries negligible blast radius even if misused by an AI agent. Write is the appropriate category rather than Read (it modifies state) or Destructive (it is not irreversible).
From the tool's definition velog_unlike_post cancels (취소) a like on a Velog post—a reversible action that modifies user engagement state without deleting or destroying content.
Documented attack patterns abuse exactly the kind of access velog_unlike_post gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Velog, and nothing reaches the server without passing your rules. This is the rule we recommend for velog_unlike_post:
{
"version": "1",
"default": "deny",
"tools": {
"velog_unlike_post": {
"limits": [
{
"counter": "velog_unlike_post_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}velog_unlike_post 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.
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Velog 포스트 좋아요를 취소합니다. It is categorised as a Write tool in the Velog MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Velog MCP server in PolicyLayer and add a rule for velog_unlike_post: 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 Velog. Nothing to install.
velog_unlike_post 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 velog_unlike_post 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 velog_unlike_post. 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.
velog_unlike_post is provided by the Velog MCP server (seongwon030/velog_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Velog, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
29 Velog tools catalogued and risk-classified — across an index of 43,000+ MCP servers.