AI agents call json_objkeys to retrieve information from Prometheus MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a data retrieval operation by inspecting and returning the keys of an object at a specified path. It has no side effects, does not execute code, does not modify or delete data, and does not involve financial operations. It is analogous to a 'keys()' or 'properties' inspection utility, which is a standard Read category operation.
From the tool's definition Tool description states 'Get the keys in the object at path' - a retrieval operation with no modification or deletion capability. The verb 'Get' and the read-only nature of inspecting object keys confirms this is a query/inspection action.
Documented attack patterns abuse exactly the kind of access json_objkeys gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Prometheus MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for json_objkeys:
{
"version": "1",
"default": "deny",
"tools": {
"json_objkeys": {}
}
}json_objkeys is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the keys in the object at path. It is categorised as a Read tool in the Prometheus MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for json_objkeys: 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 Prometheus MCP Server. Nothing to install.
json_objkeys 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 json_objkeys 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 json_objkeys. 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.
json_objkeys is provided by the Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Prometheus 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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805 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.