This record as markdown: /tools/io-github-dave-london-go/check.md
What check does on Go
AI agents invoke check to trigger actions in Go. 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 check is rated High
The tool executes an external process (cargo check) which compiles/analyzes code. While it doesn't produce build artifacts, it runs a real subprocess whose effects depend on the project's source code and environment. This falls under Execute rather than Read since it actively invokes a compiler toolchain.
From the tool's definition Runs cargo check (type check without full build) and returns structured diagnostics
Attacks that exploit this kind of access
The rule that runs check safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Go, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For check, this is the rule to start with:
check 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 Go, apply this rule, and every check call is checked against it from then on.
Questions about check
Runs cargo check (type check without full build) and returns structured diagnostics. Faster than build for error checking. It is categorised as a Execute tool in the Go MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Go MCP server in PolicyLayer and add a rule for check: 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 Go. Nothing to install.
check 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 check 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 check. 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.
check is provided by the Go 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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