get_high_risk_findings
AI agents call get_high_risk_findings to retrieve information from EMBA-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the empty description, the naming convention and server context indicate this retrieves pre-computed security findings from EMBA firmware analysis rather than executing new operations or modifying data. It queries existing results. Severity is 'medium' because the findings could inform an agent's decisions about exploitation or attack paths, creating potential for downstream harm if misused.
From the tool's definition Tool name 'get_high_risk_findings' and context indicate retrieval of security analysis results. The 'get_' prefix and sibling tools (get_binary_protection_mechanisms, get_bootloader_info, get_kernel_info, etc.) all follow a read-pattern retrieving structured…
Documented attack patterns abuse exactly the kind of access get_high_risk_findings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and EMBA-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_high_risk_findings:
{
"version": "1",
"default": "deny",
"tools": {
"get_high_risk_findings": {}
}
}get_high_risk_findings is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_high_risk_findings. It is categorised as a Read tool in the EMBA-MCP MCP Server, which means it retrieves data without modifying state.
Register the EMBA- MCP server in PolicyLayer and add a rule for get_high_risk_findings: 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 EMBA-MCP. Nothing to install.
get_high_risk_findings 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_high_risk_findings 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_high_risk_findings. 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_high_risk_findings is provided by the EMBA- MCP server (0xbuz3r/emba-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from EMBA-MCP, 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 EMBA-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.