dashboard_alerts

Alertes du dashboard

Server Eyeot https://erp.eyeot.fr/api/v1/mcp
Category Read
Risk class Low
Parameters 00 required

What dashboard_alerts does on Eyeot

AI agents call dashboard_alerts to retrieve information from Eyeot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why dashboard_alerts needs a policy

This tool retrieves or displays alert information from a dashboard, which is a read-only query operation. No evidence suggests it modifies data, executes code, deletes records, or involves financial transactions. The low severity reflects minimal blast radius—an AI agent calling this tool would only fetch dashboard alerts without side effects.

From the tool's definition Tool name 'dashboard_alerts' and description 'Alertes du dashboard' (Dashboard alerts) indicate a retrieval operation that queries alert data from a dashboard. The description contains no language suggesting modifications, deletions, or external operations.

Questions about dashboard_alerts

What does the dashboard_alerts tool do? +

Alertes du dashboard. It is categorised as a Read tool in the Eyeot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on dashboard_alerts? +

Register the Eyeot MCP server in PolicyLayer and add a rule for dashboard_alerts: 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 Eyeot. Nothing to install.

What risk level is dashboard_alerts? +

dashboard_alerts is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit dashboard_alerts? +

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

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

dashboard_alerts is provided by the Eyeot MCP server (https://erp.eyeot.fr/api/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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