Get AI-powered root cause analysis for application issues.
AI agents call get_application_rca to retrieve information from MCP Server for Coroot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves pre-computed or generated root cause analysis results from the Coroot observability platform. It has no side effects on the system—it does not create, modify, delete, or execute any operations. The analysis is generated by Coroot's AI engine, but the tool itself only reads and returns results.
From the tool's definition Tool name 'get_application_rca' and description 'Get AI-powered root cause analysis for application issues' indicate a retrieval operation that queries existing analysis data without modifying, deleting, or executing code. The verb 'get' is a read operation.
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access get_application_rca gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Server for Coroot, and nothing reaches the server without passing your rules. This is the rule we recommend for get_application_rca:
{
"version": "1",
"default": "deny",
"tools": {
"get_application_rca": {}
}
} get_application_rca is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get AI-powered root cause analysis for application issues. It is categorised as a Read tool in the MCP Server for Coroot MCP Server, which means it retrieves data without modifying state.
Register the MCP Server for Coroot MCP server in PolicyLayer and add a rule for get_application_rca: 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 MCP Server for Coroot. Nothing to install.
get_application_rca 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 get_application_rca 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 get_application_rca. 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.
get_application_rca is provided by the MCP Server for Coroot MCP server (jamesbrink/mcp-coroot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Server for Coroot, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
61 MCP Server for Coroot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.