List problems (classic Problems v2). Filter by status/severity via problemSelector and a timeframe. Returns one page; pass nextPageKey to page through results.
AI agents call list_problems 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.
This is a pure query/retrieval operation that lists observability data (problems) from Dynatrace with filtering and pagination controls. It has no side effects—it only reads and returns existing problem records. The blast radius of misuse is minimal; an agent querying problems cannot cause harm beyond information disclosure within the Dynatrace system's existing visibility.
From the tool's definition Tool name 'list_problems' and description 'List problems' with filtering and pagination; explicitly returns data with 'nextPageKey to page through results'. No modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
List problems (classic Problems v2). Filter by status/severity via problemSelector and a timeframe. Returns one page; pass nextPageKey to page through results. It is categorised as a Read tool in the Dynatrace SaaS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Dynatrace SaaS MCP Server MCP server in PolicyLayer and add a rule for list_problems: 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.
list_problems 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 list_problems 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 list_problems. 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.
list_problems 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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