output

Shows Terraform output values from the current state. Returns structured name/value/type/sensitive data.

SERVERDocker SOURCE@paretools/docker

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-dave-london-docker/output.md

WHAT IT DOES

What output does on Docker

AI agents call output to retrieve information from Docker without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why output is rated Low

This tool queries and retrieves Terraform state output without modifying, executing, or deleting any infrastructure. It is a pure read operation that returns existing configuration data in structured format, presenting minimal risk of misuse.

From the tool's definition Tool name is 'output' and description states it 'Shows Terraform output values from the current state' with structured read-only retrieval of name/value/type/sensitive data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs output safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Docker, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For output, this is the rule to start with:

output Allowed

output is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "output": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Docker, apply this rule, and every output call is checked against it from then on.

FAQ

Questions about output

What does the output tool do? +

Shows Terraform output values from the current state. Returns structured name/value/type/sensitive data. It is categorised as a Read tool in the Docker MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on output? +

Register the Docker MCP server in PolicyLayer and add a rule for output: 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. Nothing to install.

What risk level is output? +

output is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit output? +

Yes. Add a rate_limit block to the output 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.

How do I block output completely? +

Set action: deny in the PolicyLayer policy for output. 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.

What MCP server provides output? +

output is provided by the Docker MCP server (@paretools/docker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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