Get a specific scheduled post.
AI agents call get_scheduled_post to retrieve information from LinkedIn Intelligence MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data about a scheduled post without side effects. It is a straightforward read operation that matches the Read category definition: 'retrieves or queries data; no side effects (search, list, get, fetch).' The low severity reflects minimal blast radius if an AI agent misuses it—viewing scheduled post metadata poses negligible risk.
From the tool's definition Tool name and description indicate retrieval of a specific scheduled post ('Get a specific scheduled post'). No modification, deletion, or execution capability is described.
Documented attack patterns abuse exactly the kind of access get_scheduled_post gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and LinkedIn Intelligence MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_scheduled_post:
{
"version": "1",
"default": "deny",
"tools": {
"get_scheduled_post": {}
}
} get_scheduled_post is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a specific scheduled post. It is categorised as a Read tool in the LinkedIn Intelligence MCP Server MCP Server, which means it retrieves data without modifying state.
Register the LinkedIn Intelligence MCP Server MCP server in PolicyLayer and add a rule for get_scheduled_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 LinkedIn Intelligence MCP Server. Nothing to install.
get_scheduled_post is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_scheduled_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 get_scheduled_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.
get_scheduled_post is provided by the LinkedIn Intelligence MCP Server MCP server (southleft/linkedin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 87 LinkedIn Intelligence MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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87 LinkedIn Intelligence MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.