AI agents call get_storage_info to retrieve information from YaraFlux MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'get_' prefix strongly suggests a retrieval/query operation with no side effects. No evidence of data modification, deletion, execution, or financial impact. Lowered confidence slightly due to empty description, but semantic analysis of the tool name and server context supports Read classification.
From the tool's definition Tool name 'get_storage_info' indicates retrieval of storage metadata or status information. The empty description is uninformative, but in context of a YARA analysis server, this appears to query storage statistics or capacity data rather than perform…
Documented attack patterns abuse exactly the kind of access get_storage_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and YaraFlux MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_storage_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_storage_info": {}
}
}get_storage_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_storage_info. It is categorised as a Read tool in the YaraFlux MCP Server MCP Server, which means it retrieves data without modifying state.
Register the YaraFlux MCP Server MCP server in PolicyLayer and add a rule for get_storage_info: 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 YaraFlux MCP Server. Nothing to install.
get_storage_info 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 get_storage_info 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 get_storage_info. 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.
get_storage_info is provided by the YaraFlux MCP Server MCP server (threatflux/yaraflux). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from YaraFlux 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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20 YaraFlux MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.