run_keyboard_journey

Run a bounded declarative keyboard journey against a public page. Arbitrary JavaScript is not accepted.

SERVERA11y Agent SOURCE@a11y-agent/mcp

High RISK CLASS

Category Execute

Parameters 52 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/a11y-agent-mcp/run-keyboard-journey.md

WHAT IT DOES

What run_keyboard_journey does on A11y Agent

AI agents invoke run_keyboard_journey to trigger actions in A11y Agent. 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.

Parameter	Type	Required
`url`	string	Yes
`journey`	object	Yes
`viewport`	object	—
`timeoutMs`	integer	—
`reducedMotion`	boolean	—

Parameters from the server's own tool schema.

RISK

Why run_keyboard_journey is rated High

Executes keyboard interactions on web pages; effects depend on target page state and actions specified.

From the tool's definition runs bounded declarative keyboard journey against public page

Risk signalsAccepts URL/endpoint input (url) · High parameter count (11 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs run_keyboard_journey safely

PolicyLayer is an MCP gateway: it sits between your AI agents and A11y Agent, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_keyboard_journey, this is the rule to start with:

run_keyboard_journey Rate-limited

run_keyboard_journey stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_keyboard_journey": {
      "limits": [
        {
          "counter": "run_keyboard_journey_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect A11y Agent, apply this rule, and every run_keyboard_journey call is checked against it from then on.

FAQ

Questions about run_keyboard_journey

What does the run_keyboard_journey tool do? +

Run a bounded declarative keyboard journey against a public page. Arbitrary JavaScript is not accepted. It is categorised as a Execute tool in the A11y Agent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does run_keyboard_journey accept? +

run_keyboard_journey accepts 5 parameters: url, journey, viewport, timeoutMs, reducedMotion. Required: url, journey. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on run_keyboard_journey? +

Register the A11y Agent MCP server in PolicyLayer and add a rule for run_keyboard_journey: 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 A11y Agent. Nothing to install.

What risk level is run_keyboard_journey? +

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

Can I rate-limit run_keyboard_journey? +

Yes. Add a rate_limit block to the run_keyboard_journey 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 run_keyboard_journey completely? +

Set action: deny in the PolicyLayer policy for run_keyboard_journey. 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 run_keyboard_journey? +

run_keyboard_journey is provided by the A11y Agent MCP server (@a11y-agent/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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