checks if an element (checkbox, radio) is selected
AI agents call is_element_selected to retrieve information from Selenium MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only inspection of DOM element state. It queries whether a checkbox or radio button is currently selected, returning information without side effects, mutations, or external operations. While it operates within a browser automation context, the specific operation is purely informational.
From the tool's definition The tool name is 'is_element_selected' and the description states it 'checks if an element (checkbox, radio) is selected'. This is a query operation that retrieves the state of a UI element without modifying or executing any actions.
Attacks that exploit this kind of access
checks if an element (checkbox, radio) is selected. It is categorised as a Read tool in the Selenium MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Selenium MCP Server MCP server in PolicyLayer and add a rule for is_element_selected: 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 Selenium MCP Server. Nothing to install.
is_element_selected is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the is_element_selected 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 is_element_selected. 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.
is_element_selected is provided by the Selenium MCP Server MCP server (jyothishkumarav/selenium-mcp-server-python). 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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