config
Manages git configuration values. Supports get, set, list, and unset actions. Operates at local, global, system, or worktree scope.
This record as markdown: /tools/io-github-dave-london-docker/config.md
What config does on Docker
AI agents use config to create or update resources in Docker, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Docker environment.
Why config is rated Medium
The tool can create and modify configuration data through 'set' and 'unset' actions. While these changes are reversible (can be undone by reconfiguring), they affect system/repository state and could be misused to alter authentication credentials, user identity, or other sensitive git settings. This makes it a Write-category tool.
From the tool's definition Tool supports 'set' and 'unset' actions that modify git configuration values at local, global, system, or worktree scope. These are reversible write operations that alter configuration state.
Attacks that exploit this kind of access
The rule that runs config 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 config, this is the rule to start with:
config stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Docker, apply this rule, and every config call is checked against it from then on.
Questions about config
Manages git configuration values. Supports get, set, list, and unset actions. Operates at local, global, system, or worktree scope. It is categorised as a Write tool in the Docker MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Docker MCP server in PolicyLayer and add a rule for config: 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.
config is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the config 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 config. 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.
config 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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