Real-time system health, backend availability, and resource utilization.
AI agents call get_status to retrieve information from OCR-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries system metrics and status information. It retrieves data about system health, backend availability, and resource usage without creating, modifying, deleting, or executing any operations. This is a classic Read operation with minimal security risk—the worst outcome is stale or incorrect status information being returned to an AI agent.
From the tool's definition Tool name 'get_status' and description 'Real-time system health, backend availability, and resource utilization' indicate information retrieval with no data modification or external state changes.
Documented attack patterns abuse exactly the kind of access get_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OCR-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_status": {}
}
} get_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Real-time system health, backend availability, and resource utilization. It is categorised as a Read tool in the OCR-MCP MCP Server, which means it retrieves data without modifying state.
Register the OCR- MCP server in PolicyLayer and add a rule for get_status: 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 OCR-MCP. Nothing to install.
get_status 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_status 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_status. 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_status is provided by the OCR- MCP server (sandraschi/ocr-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OCR-MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 OCR-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.