Type text
AI agents invoke browser_type to trigger actions in Limetest MCP Server. 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.
Typing text into a browser is an Execute-level action because it drives external browser operations whose effects depend on arguments. While typing alone may seem benign, in the context of a Playwright-based automation framework it can populate forms, trigger autocomplete/search operations, or prepare inputs for submission, causing real-world side effects depending on what is typed and where.
From the tool's definition 'Type text' in a browser automation context — triggers keyboard input into browser elements, which can submit forms, trigger searches, or interact with web applications in ways that cause side effects
Attacks that exploit this kind of access
Type text. It is categorised as a Execute tool in the Limetest MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Limetest MCP Server MCP server in PolicyLayer and add a rule for browser_type: 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 Limetest MCP Server. Nothing to install.
browser_type 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_type 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_type. 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_type is provided by the Limetest MCP Server MCP server (m2rads/limetest-arch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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