This record as markdown: /tools/io-github-dave-london-cargo/install.md
What install does on Cargo
AI agents invoke install to trigger actions in Cargo. 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 install is rated High
cargo install executes a build and installs a binary onto the system, making it an Execute-category action. It can install arbitrary crates/binaries from crates.io or other sources, giving it a high blast radius if misused by an AI agent to install malicious or unwanted software. The description is truncated ('Runs') but the cargo install context strongly implies code execution and system modification.
From the tool's definition Tool name 'install' on a server that runs structured Rust cargo operations; 'Runs' (description truncated) implies execution of cargo install command
Attacks that exploit this kind of access
The rule that runs install safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cargo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For install, this is the rule to start with:
install 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 Cargo, apply this rule, and every install call is checked against it from then on.
Questions about install
Runs. It is categorised as a Execute tool in the Cargo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cargo MCP server in PolicyLayer and add a rule for install: 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 Cargo. Nothing to install.
install 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 install 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 install. 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.
install is provided by the Cargo 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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