AI agents call list_bucket_objects to retrieve information from Recall 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 enumerates objects stored in a bucket without creating, modifying, deleting, or executing any operations. It has no side effects and poses minimal risk if misused by an AI agent—worst case would be information disclosure of bucket contents the agent already has access to.
From the tool's definition Tool name 'list_bucket_objects' and description 'List all objects in a Recall bucket' indicate a query/retrieval operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access list_bucket_objects gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Recall MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_bucket_objects:
{
"version": "1",
"default": "deny",
"tools": {
"list_bucket_objects": {}
}
}list_bucket_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 all objects in a Recall bucket. It is categorised as a Read tool in the Recall MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Recall MCP Server MCP server in PolicyLayer and add a rule for list_bucket_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 Recall MCP Server. Nothing to install.
list_bucket_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 list_bucket_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 list_bucket_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.
list_bucket_objects is provided by the Recall MCP Server MCP server (recallnet/recall-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Recall 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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9 Recall MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.