This record as markdown: /tools/io-github-dave-london-npm/audit.md
What audit does on Npm
AI agents call audit to retrieve information from Npm without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why audit is rated Low
The tool performs a vulnerability audit, which is fundamentally a read operation: it scans dependencies and reports findings without modifying code, installing packages, or executing arbitrary commands. Auditing has no side effects on the codebase or system state. While the tool runs a subprocess (cargo audit), that subprocess is deterministic and read-only in nature, making this a Read category rather than Execute.
From the tool's definition Tool is described as 'Runs cargo audit and returns structured vulnerability data' — the key terms 'audit' (passive inspection) and 'returns' (queries/retrieves) indicate read-only behavior with no modification or execution of external commands beyond…
Attacks that exploit this kind of access
The rule that runs audit safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Npm, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For audit, this is the rule to start with:
audit 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 Npm, apply this rule, and every audit call is checked against it from then on.
Questions about audit
Runs cargo audit and returns structured vulnerability data. It is categorised as a Read tool in the Npm MCP Server, which means it retrieves data without modifying state.
Register the Npm MCP server in PolicyLayer and add a rule for audit: 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 Npm. Nothing to install.
audit 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 audit 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 audit. 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.
audit is provided by the Npm 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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