AI agents call describe_schema 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.
Schema description tools are typically read-only queries that return metadata about data structures. Even in the context of AWS Managed Prometheus, describing a schema would retrieve structural information without modifying or executing anything. The low confidence reflects the empty description, but the semantic meaning of 'describe' consistently maps to read operations across AWS and database tools.
From the tool's definition Tool name 'describe_schema' strongly suggests a schema inspection/retrieval operation with no side effects. However, the description is empty, which limits definitive confirmation.
Documented attack patterns abuse exactly the kind of access describe_schema 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 describe_schema:
{
"version": "1",
"default": "deny",
"tools": {
"describe_schema": {}
}
}describe_schema is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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describe_schema. 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 describe_schema: 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.
describe_schema 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 describe_schema 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 describe_schema. 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.
describe_schema 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.