Post a new top-level comment on a YouTube video, authored as the connected channel. Use for proactive engagement on your own videos. For replies to existing comments use reply_to_comment instead \u2014 this tool only creates top-level comments. video_id comes from list_recent_posts (platform_post...
Part of the Socialneuron server.
Free to start. No card required.
AI agents use post_comment to create or modify resources in Socialneuron. 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 post_comment 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 Socialneuron.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"post_comment": {
"limits": [
{
"counter": "post_comment_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Socialneuron policy for all 100 tools.
These attack patterns abuse exactly the kind of access post_comment 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.
Post a new top-level comment on a YouTube video, authored as the connected channel. Use for proactive engagement on your own videos. For replies to existing comments use reply_to_comment instead \u2014 this tool only creates top-level comments. video_id comes from list_recent_posts (platform_post_id field) or any YouTube URL (the v= parameter, 11 chars). Subject to YouTube anti-spam rate limits; calls return rate_limited if exceeded.. It is categorised as a Write tool in the Socialneuron MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Socialneuron MCP server in PolicyLayer and add a rule for post_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 Socialneuron. Nothing to install.
post_comment 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 post_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.
Set action: deny in the PolicyLayer policy for post_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.
post_comment is provided by the Socialneuron MCP server (@socialneuron/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 100 Socialneuron tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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