oncall_users
AI agents call oncall_users to retrieve information from Oncallhealth without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Without a description, classification relies on naming convention and context. The name 'oncall_users' and surrounding tools (analysis_*, get_*, check_*) strongly suggest this retrieves user or roster data from the on-call system. No evidence of write, execute, destructive, or financial operations.
From the tool's definition Tool name 'oncall_users' with empty description suggests a query or retrieval operation typical of on-call health analysis platforms.
Attacks that exploit this kind of access
oncall_users. It is categorised as a Read tool in the Oncallhealth MCP Server, which means it retrieves data without modifying state.
Register the Oncallhealth MCP server in PolicyLayer and add a rule for oncall_users: 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 Oncallhealth. Nothing to install.
oncall_users 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 oncall_users 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 oncall_users. 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.
oncall_users is provided by the Oncallhealth MCP server (rootly-ai-labs/mcp-on-call-health). 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.
Teams ship this data inside their own products. See what a licence covers →