AI agents invoke submit_analysis_job to trigger actions in JoeSandboxMCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool name strongly implies submitting a job to Joe Sandbox Cloud for execution/analysis of a sample. This triggers an external operation (running a file or URL in a sandbox environment), which classifies as Execute. The description is empty, lowering confidence, but the name and server context (malware sandbox analysis) make this interpretation highly plausible.
From the tool's definition Tool name 'submit_analysis_job' on a sandbox server that performs malware analysis; description is empty
Documented attack patterns abuse exactly the kind of access submit_analysis_job gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and JoeSandboxMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for submit_analysis_job:
{
"version": "1",
"default": "deny",
"tools": {
"submit_analysis_job": {
"limits": [
{
"counter": "submit_analysis_job_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}submit_analysis_job stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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submit_analysis_job. It is categorised as a Execute tool in the JoeSandboxMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the JoeSandbox MCP server in PolicyLayer and add a rule for submit_analysis_job: 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 JoeSandboxMCP. Nothing to install.
submit_analysis_job is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the submit_analysis_job 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 submit_analysis_job. 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.
submit_analysis_job is provided by the JoeSandbox MCP server (joesecurity/joesandboxmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from JoeSandboxMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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15 JoeSandboxMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.