This record as markdown: /tools/io-github-dave-london-pare-test/pm-ls.md
What pm-ls does on Test
AI agents invoke pm-ls to trigger actions in Test. 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.
Why pm-ls is rated High
The description is truncated to just 'Runs', but combined with the tool name 'pm-ls' (package manager list) and the server context involving package management tools (add-package, audit), this tool likely executes a package manager list command. Executing external CLI commands falls under Execute. Severity is medium since listing packages is relatively benign but still runs external processes.
From the tool's definition Tool name 'pm-ls' and server context suggest running a package manager list command; server description mentions 'Runs' (truncated description)
Attacks that exploit this kind of access
The rule that runs pm-ls safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Test, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pm-ls, this is the rule to start with:
pm-ls 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Test, apply this rule, and every pm-ls call is checked against it from then on.
Questions about pm-ls
Runs. It is categorised as a Execute tool in the Test MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Test MCP server in PolicyLayer and add a rule for pm-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 Test. Nothing to install.
pm-ls 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 pm-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 pm-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.
pm-ls is provided by the Test MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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