puppeteer_fill

Fill out an input field

Server Steel Puppeteer rdvo/mcp-server
Category Execute
Risk class High
Parameters 00 required

What puppeteer_fill does on Steel Puppeteer

AI agents invoke puppeteer_fill to trigger actions in Steel Puppeteer. 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 puppeteer_fill needs a policy

Filling an input field is a browser action with side effects depending on the target field. While it doesn't submit data on its own, it modifies the browser's DOM state and could be chained with other actions (e.g., click to submit). It fits Execute as it triggers an external browser operation whose impact depends on arguments.

From the tool's definition 'Fill out an input field' — triggers a browser action that modifies state in an external web environment (form fields, login forms, etc.)

Questions about puppeteer_fill

What does the puppeteer_fill tool do? +

Fill out an input field. It is categorised as a Execute tool in the Steel Puppeteer MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on puppeteer_fill? +

Register the Steel Puppeteer MCP server in PolicyLayer and add a rule for puppeteer_fill: 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 Steel Puppeteer. Nothing to install.

What risk level is puppeteer_fill? +

puppeteer_fill is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit puppeteer_fill? +

Yes. Add a rate_limit block to the puppeteer_fill 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.

How do I block puppeteer_fill completely? +

Set action: deny in the PolicyLayer policy for puppeteer_fill. 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.

What MCP server provides puppeteer_fill? +

puppeteer_fill is provided by the Steel Puppeteer MCP server (rdvo/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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