AI agents call describe_api to retrieve information from ZStack MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns documentation about ZStack APIs. It retrieves and presents information about API parameters and specifications, which is a read-only operation with no capability to modify, execute, or delete data. No state changes occur in the system. Confidence is high due to clear documentation retrieval semantics and the presence of a separate 'execute_api' tool that handles actual invocations.
From the tool's definition Tool name 'describe_api' and description '获取指定 ZStack API 的详细参数说明' (get detailed parameter description of specified ZStack API) indicate retrieval of API documentation/metadata without side effects.
Documented attack patterns abuse exactly the kind of access describe_api gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ZStack MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for describe_api:
{
"version": "1",
"default": "deny",
"tools": {
"describe_api": {}
}
} describe_api is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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获取指定 ZStack API 的详细参数说明. It is categorised as a Read tool in the ZStack MCP Server MCP Server, which means it retrieves data without modifying state.
Register the ZStack MCP Server MCP server in PolicyLayer and add a rule for describe_api: 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 ZStack MCP Server. Nothing to install.
describe_api 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_api 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_api. 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_api is provided by the ZStack MCP Server MCP server (zstackio/zstack-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ZStack 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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6 ZStack MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.