AI agents use share_article to create or update resources in RSS MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your RSS MCP Server environment.
This tool modifies the state of an article by marking it as shared, which is a reversible write operation. It does not delete data, execute code, or involve financial transactions. The existence of a sibling tool 'cancel_article_sharing' confirms this action is reversible.
From the tool's definition Marks a specific article as a shared item
Documented attack patterns abuse exactly the kind of access share_article gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and RSS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for share_article:
{
"version": "1",
"default": "deny",
"tools": {
"share_article": {
"limits": [
{
"counter": "share_article_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} share_article 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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Marks a specific article as a shared item. It is categorised as a Write tool in the RSS MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the RSS MCP Server MCP server in PolicyLayer and add a rule for share_article: 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 RSS MCP Server. Nothing to install.
share_article 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 share_article 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 share_article. 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.
share_article is provided by the RSS MCP Server MCP server (xueli-sherryli/rss-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from RSS MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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34 RSS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.