AI agents call capture_performance_timeline to retrieve information from InSite without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool reads and captures performance metrics/timeline data from the browser for analysis purposes. It does not modify, delete, or execute anything—it only collects diagnostic information, making it a Read operation with low blast radius.
From the tool's definition Capture detailed browser performance timeline data for analysis
Attacks that exploit this kind of access
Capture detailed browser performance timeline data for analysis. It is categorised as a Read tool in the InSite MCP Server, which means it retrieves data without modifying state.
Register the InSite MCP server in PolicyLayer and add a rule for capture_performance_timeline: 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 InSite. Nothing to install.
capture_performance_timeline 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 capture_performance_timeline 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 capture_performance_timeline. 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.
capture_performance_timeline is provided by the InSite MCP server (jowharshamshiri/insite). 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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