AI agents invoke assert_run to trigger actions in Assert. 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 external operations (browser automation via Playwright) whose effects depend on the test scenario arguments. While the primary intent is testing, an AI agent could be tricked into running malicious test scenarios that interact with real web applications, steal credentials, modify data, or trigger unwanted transactions. The blast radius is high because Playwright has full browser control.
From the tool's definition Tool description states 'Execute a test scenario' and 'Runs are async' — this triggers Playwright browser automation to perform arbitrary actions defined by the test scenario.
Attacks that exploit this kind of access
Execute a test scenario and return a run ID. Accepts either a saved scenario_id or ad-hoc markdown. Runs are async — use assert_status to poll for completion. It is categorised as a Execute tool in the Assert MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Assert MCP server in PolicyLayer and add a rule for assert_run: 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 Assert. Nothing to install.
assert_run 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 assert_run 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 assert_run. 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.
assert_run is provided by the Assert MCP server (pixel-funnel/assert-click-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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