Type text into an input field identified by a CSS selector
AI agents invoke type to trigger actions in QA Agent Pro. 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.
This tool executes browser actions by simulating keyboard input into web page elements. It is not a simple read, and while it modifies state on a web page, the action itself is an execution of browser control rather than a reversible write to a data store.
From the tool's definition 'Type text into an input field identified by a CSS selector' — directly controls browser input fields, triggering external browser interactions
Attacks that exploit this kind of access
Type text into an input field identified by a CSS selector. It is categorised as a Execute tool in the QA Agent Pro MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the QA Agent Pro MCP server in PolicyLayer and add a rule for 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 QA Agent Pro. Nothing to install.
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 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 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.
type is provided by the QA Agent Pro MCP server (samusilv/qa-agent-mcp). 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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