This record as markdown: /tools/io-github-dave-london-build/pm-ls.md
What pm-ls does on Build
AI agents invoke pm-ls to trigger actions in Build. 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', providing minimal information. Based on the tool name 'pm-ls' (likely 'package manager list'), this appears to execute a package manager listing command (e.g., npm ls, yarn list). List/ls commands in package managers typically read and display dependency trees but do involve executing an external process.
From the tool's definition Tool name 'pm-ls' and description 'Runs' (truncated/uninformative) suggest executing a package manager list command
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 Build, 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 Build, 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 Build MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Build 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 Build. 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 Build 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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