Return the Bucket you configured based on the conditions.
AI agents call list_buckets to retrieve information from Qiniu 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 lists existing buckets based on filter conditions. It retrieves information about configured storage buckets without creating, modifying, deleting, or executing any operations. The blast radius is minimal—an AI agent misusing this would only be able to enumerate storage resources, which is a read-level risk.
From the tool's definition Tool name 'list_buckets' and description 'Return the Bucket you configured based on the conditions' indicate data retrieval without modification. The verb 'Return' and 'list' are query/retrieval operations.
Documented attack patterns abuse exactly the kind of access list_buckets gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Qiniu MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_buckets:
{
"version": "1",
"default": "deny",
"tools": {
"list_buckets": {}
}
} list_buckets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Return the Bucket you configured based on the conditions. It is categorised as a Read tool in the Qiniu MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Qiniu MCP Server MCP server in PolicyLayer and add a rule for list_buckets: 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 Qiniu MCP Server. Nothing to install.
list_buckets 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 list_buckets 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 list_buckets. 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.
list_buckets is provided by the Qiniu MCP Server MCP server (qiniu/qiniu-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 24 Qiniu MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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24 Qiniu MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.