Execute analysis tools in Docker containers
AI agents invoke docker_exec_analysis to trigger actions in MCP Prompts Server. 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.
This tool executes code in Docker containers, making it an Execute category risk. Severity is high because Docker container escape, malicious analysis payloads, or resource exhaustion could cause significant damage. An AI agent could execute arbitrary Docker commands leading to container breakout, data exfiltration, or lateral movement.
From the tool's definition Tool name 'docker_exec_analysis' explicitly states 'Execute' and description states 'Execute analysis tools in Docker containers', indicating arbitrary code execution within containerized environments.
Documented attack patterns abuse exactly the kind of access docker_exec_analysis gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Prompts Server, and nothing reaches the server without passing your rules. This is the rule we recommend for docker_exec_analysis:
{
"version": "1",
"default": "deny",
"tools": {
"docker_exec_analysis": {
"limits": [
{
"counter": "docker_exec_analysis_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}docker_exec_analysis 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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Execute analysis tools in Docker containers. It is categorised as a Execute tool in the MCP Prompts Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Prompts Server MCP server in PolicyLayer and add a rule for docker_exec_analysis: 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 MCP Prompts Server. Nothing to install.
docker_exec_analysis 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 docker_exec_analysis 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 docker_exec_analysis. 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.
docker_exec_analysis is provided by the MCP Prompts Server MCP server (sparesparrow/mcp-prompts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 51 MCP Prompts Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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51 MCP Prompts Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.