Publish a blog post (sets status to published and records timestamp). Returns a preview and confirmation token on first call; pass the token back to execute.
AI agents use crow_publish_post to create or update resources in Crow — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Crow environment.
This tool creates or modifies data (publishes a post, sets status, records timestamp) in a reversible manner. The action is Write-category because the post can be unpublished or modified afterward. It is not Destructive because publishing is not an irreversible deletion.
From the tool's definition Publish a blog post (sets status to published and records timestamp). Returns a preview and confirmation token on first call; pass the token back to execute.
Documented attack patterns abuse exactly the kind of access crow_publish_post gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for crow_publish_post:
{
"version": "1",
"default": "deny",
"tools": {
"crow_publish_post": {
"limits": [
{
"counter": "crow_publish_post_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}crow_publish_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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Publish a blog post (sets status to published and records timestamp). Returns a preview and confirmation token on first call; pass the token back to execute. It is categorised as a Write tool in the Crow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Crow MCP server in PolicyLayer and add a rule for crow_publish_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 Crow. Nothing to install.
crow_publish_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 crow_publish_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 crow_publish_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.
crow_publish_post is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.