analysis_current

Get the most recent analysis for the current user.

Server Oncallhealth rootly-ai-labs/mcp-on-call-health
Category Read
Risk class Low
Parameters 00 required

What analysis_current does on Oncallhealth

AI agents call analysis_current 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.

Why analysis_current needs a policy

This tool queries and retrieves existing analysis data for the current user. It performs a read-only operation with no capability to modify, delete, execute, or create data. The action is a simple data fetch with minimal blast radius if misused by an AI agent.

From the tool's definition Tool name 'analysis_current' and description 'Get the most recent analysis for the current user' indicate a retrieval operation with no modification or side effects.

Questions about analysis_current

What does the analysis_current tool do? +

Get the most recent analysis for the current user. It is categorised as a Read tool in the Oncallhealth MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analysis_current? +

Register the Oncallhealth MCP server in PolicyLayer and add a rule for analysis_current: 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.

What risk level is analysis_current? +

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

Can I rate-limit analysis_current? +

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

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

analysis_current 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.

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