List runtime/deployed objects that are actively running in SAP Datasphere. Returns deployment status, runtime metrics, execution history for data flows, and performance statistics. Use this for monitoring deployed assets, tracking execution status, analyzing runtime performance, and identifying a...
AI agents call get_deployed_objects to retrieve information from SAP Datasphere 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 and displays metadata about deployed objects, their status, metrics, and execution history. While it accesses sensitive operational information about a production SAP Datasphere environment (which warrants medium severity due to the sensitive nature of the system and the intelligence that could be gleaned about data infrastructure), it performs no write, delete, execute, or financial operations.
From the tool's definition Tool 'get_deployed_objects' performs querying and listing operations: 'List runtime/deployed objects', 'Returns deployment status, runtime metrics, execution history', and stated uses include 'monitoring deployed assets, tracking execution status, analyzing…
Documented attack patterns abuse exactly the kind of access get_deployed_objects gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SAP Datasphere MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_deployed_objects:
{
"version": "1",
"default": "deny",
"tools": {
"get_deployed_objects": {}
}
} get_deployed_objects is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List runtime/deployed objects that are actively running in SAP Datasphere. Returns deployment status, runtime metrics, execution history for data flows, and performance statistics. Use this for monitoring deployed assets, tracking execution status, analyzing runtime performance, and identifying active vs inactive objects. It is categorised as a Read tool in the SAP Datasphere MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SAP Datasphere MCP Server MCP server in PolicyLayer and add a rule for get_deployed_objects: 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 SAP Datasphere MCP Server. Nothing to install.
get_deployed_objects 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_deployed_objects 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_deployed_objects. 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_deployed_objects is provided by the SAP Datasphere MCP Server MCP server (mariodefelipe/sap-datasphere-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SAP Datasphere 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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31 SAP Datasphere MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.