This record as markdown: /tools/io-github-dave-london-build/lint.md
What lint does on Build
AI agents invoke lint 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 lint is rated High
Linting tools execute external processes or shell commands to analyze code. The server is described as a 'build tool' that runs commands like tsc and generic commands. 'Runs' in the description confirms execution behavior. Misuse could lead to unintended code execution or resource exhaustion, but blast radius is generally medium as linting is typically read-only in effect, though it does execute external processes.
From the tool's definition Tool name 'lint' combined with server description mentioning 'runs' (truncated description: 'Runs') indicates it executes a linting command/process against code
Attacks that exploit this kind of access
The rule that runs lint 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 lint, this is the rule to start with:
lint 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 lint call is checked against it from then on.
Questions about lint
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 lint: 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.
lint 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 lint 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 lint. 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.
lint 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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