volume-ls
Lists Docker volumes with structured driver, mountpoint, and scope information.
This record as markdown: /tools/io-github-dave-london-github/volume-ls.md
What volume-ls does on Github
AI agents call volume-ls to retrieve information from Github without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why volume-ls is rated Low
This tool retrieves and displays information about Docker volumes (driver, mountpoint, scope details) without creating, modifying, deleting, or executing anything. It is a pure read operation with minimal risk—an agent querying it gains only informational access to the container environment's volume configuration.
From the tool's definition Tool name 'volume-ls' and description 'Lists Docker volumes' indicate a query/listing operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs volume-ls safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Github, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For volume-ls, this is the rule to start with:
volume-ls is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Github, apply this rule, and every volume-ls call is checked against it from then on.
Questions about volume-ls
Lists Docker volumes with structured driver, mountpoint, and scope information. It is categorised as a Read tool in the Github MCP Server, which means it retrieves data without modifying state.
Register the Github MCP server in PolicyLayer and add a rule for volume-ls: 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 Github. Nothing to install.
volume-ls 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 volume-ls 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 volume-ls. 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.
volume-ls is provided by the Github MCP server (@paretools/github). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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