analyze_runtime
AI agents call analyze_runtime to retrieve information from Docker Explorer without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name alone, 'analyze_runtime' suggests inspecting or examining runtime characteristics of a Docker container or image, which is a read/analysis operation. The sibling tools are predominantly read/analysis tools (analyze_dockerfile, analyze_repository, scan_security, get_image_details).
From the tool's definition Tool name is 'analyze_runtime'; description is empty and uninformative.
Attacks that exploit this kind of access
analyze_runtime. It is categorised as a Read tool in the Docker Explorer MCP Server, which means it retrieves data without modifying state.
Register the Docker Explorer MCP server in PolicyLayer and add a rule for analyze_runtime: 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 Docker Explorer. Nothing to install.
analyze_runtime 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 analyze_runtime 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 analyze_runtime. 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.
analyze_runtime is provided by the Docker Explorer MCP server (jar285/mcp-docker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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