playwright
Runs Playwright tests with JSON reporter and returns structured results with pass/fail status, duration, and error messages.
This record as markdown: /tools/io-github-dave-london-github/playwright.md
What playwright does on Github
AI agents invoke playwright to trigger actions in Github. 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 playwright is rated High
Playwright tests can perform browser automation including navigation, form submission, clicks, and API calls. Running arbitrary test suites constitutes code/script execution with potentially wide side effects depending on what the tests do. The blast radius is high because tests could interact with external services, modify state, or expose sensitive data.
From the tool's definition 'Runs Playwright tests' — executes browser automation/test scripts with arbitrary actions against real systems
Attacks that exploit this kind of access
The rule that runs playwright safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Github, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For playwright, this is the rule to start with:
playwright 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 Github, apply this rule, and every playwright call is checked against it from then on.
Questions about playwright
Runs Playwright tests with JSON reporter and returns structured results with pass/fail status, duration, and error messages. It is categorised as a Execute tool in the Github MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Github MCP server in PolicyLayer and add a rule for playwright: 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 Github. Nothing to install.
playwright 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 playwright 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 playwright. 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.
playwright is provided by the Github MCP server (@paretools/github). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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