Read the input-event companion stream (keystrokes + mouse clicks/scroll) for a session, plus deterministic stats (clicks, keys, actions/min). Events follow a standard AI-training schema (t,type,x,y,button,key,...) and pair 1:1 with frames as a {screenshot,action} trace. Producers POST events to /...
AI agents call screenlog_events to retrieve information from Yaver without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | string | Yes | |
limit | integer | — |
Parameters from the server's own tool schema.
Even though screenlog_events only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Read the input-event companion stream (keystrokes + mouse clicks/scroll) for a session, plus deterministic stats (clicks, keys, actions/min). Events follow a standard AI-training schema (t,type,x,y,button,key,...) and pair 1:1 with frames as a {screenshot,action} trace. Producers POST events to /screenlog/<id>/events (works without the built-in agent loop). It is categorised as a Read tool in the Yaver MCP Server, which means it retrieves data without modifying state.
screenlog_events accepts 2 parameters: id, limit. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the Yaver MCP server in PolicyLayer and add a rule for screenlog_events: 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 Yaver. Nothing to install.
screenlog_events 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 screenlog_events 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 screenlog_events. 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.
screenlog_events is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.