Type text string as if typing on a keyboard. Use this for entering text in forms, search boxes, etc.
AI agents invoke bytebot_type_text to trigger actions in ByteBot 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 is an execution of input actions on a live desktop environment. While it doesn't directly delete data, it can submit forms, execute terminal commands, enter credentials, or trigger any keyboard-driven operation depending on what application has focus.
From the tool's definition 'Type text string as if typing on a keyboard' — triggers real keyboard input operations on a desktop system, which can interact with any focused application, form, terminal, or dialog.
Attacks that exploit this kind of access
Type text string as if typing on a keyboard. Use this for entering text in forms, search boxes, etc. It is categorised as a Execute tool in the ByteBot MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ByteBot MCP Server MCP server in PolicyLayer and add a rule for bytebot_type_text: 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 ByteBot MCP Server. Nothing to install.
bytebot_type_text 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 bytebot_type_text 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 bytebot_type_text. 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.
bytebot_type_text is provided by the ByteBot MCP Server MCP server (sensuslab/spark-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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