This record as markdown: /tools/frontmcp/browser-test.md
What browser_test does on Frontmcp
AI agents invoke browser_test to trigger actions in Frontmcp. 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 browser_test is rated High
The tool name 'browser_test' combined with 'defined in the browser' strongly suggests this tool runs or interacts with a browser environment, which falls under Execute. Browser automation can trigger arbitrary web actions, navigate pages, submit forms, or execute scripts. The description is vague, which lowers confidence, but the browser execution context implies significant blast radius if misused.
From the tool's definition 'A tool defined in the browser' — name 'browser_test' implies browser execution/automation
Attacks that exploit this kind of access
The rule that runs browser_test safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Frontmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser_test, this is the rule to start with:
browser_test 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 Frontmcp, apply this rule, and every browser_test call is checked against it from then on.
Questions about browser_test
A tool defined in the browser. It is categorised as a Execute tool in the Frontmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Front MCP server in PolicyLayer and add a rule for browser_test: 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 Frontmcp. Nothing to install.
browser_test 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 browser_test 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 browser_test. 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.
browser_test is provided by the Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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