get_problem

Get full details of one problem, including root cause and affected entities.

Server Dynatrace SaaS MCP Server mnmozi/dynatrace-mcp-saas
Category Read
Risk class Low
Parameters 00 required

What get_problem does on Dynatrace SaaS MCP Server

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

Why get_problem needs a policy

This tool retrieves problem details from Dynatrace observability platform, which is a read-only query operation. It has no side effects on system state, infrastructure, or data integrity. The blast radius of misuse is minimal—an agent could only access observability metadata that should be available to authenticated users. This is consistent with the 'Read' category for data retrieval operations.

From the tool's definition Tool name 'get_problem' and description 'Get full details of one problem, including root cause and affected entities' indicate retrieval of existing observability data with no modification, creation, deletion, or execution of operations.

Risk signalsAdmin/system-level operation

Questions about get_problem

What does the get_problem tool do? +

Get full details of one problem, including root cause and affected entities. It is categorised as a Read tool in the Dynatrace SaaS MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_problem? +

Register the Dynatrace SaaS MCP Server MCP server in PolicyLayer and add a rule for get_problem: 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 Dynatrace SaaS MCP Server. Nothing to install.

What risk level is get_problem? +

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

Can I rate-limit get_problem? +

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

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

get_problem is provided by the Dynatrace SaaS MCP Server MCP server (mnmozi/dynatrace-mcp-saas). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER 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 →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.