list_component_problems
A read tool on the Enterprise-Multi-Agent-Engine MCP server.
This record as markdown: /tools/enterprise-multi-agent-engine/list-component-problems.md
What list_component_problems does on Enterprise-Multi-Agent-Engine
AI agents call list_component_problems to retrieve information from Enterprise-Multi-Agent-Engine without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_component_problems is rated Low
Tool appears to retrieve component diagnostics or error logs without modifying system state.
From the tool's definition uninformative description
Attacks that exploit this kind of access
The rule that runs list_component_problems safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Enterprise-Multi-Agent-Engine, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_component_problems, this is the rule to start with:
list_component_problems is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Enterprise-Multi-Agent-Engine, apply this rule, and every list_component_problems call is checked against it from then on.
Questions about list_component_problems
list_component_problems is a read tool on the Enterprise-Multi-Agent-Engine MCP server. It is categorised as a Read tool in the Enterprise-Multi-Agent-Engine MCP Server, which means it retrieves data without modifying state.
Register the Enterprise-Multi-Agent-Engine MCP server in PolicyLayer and add a rule for list_component_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 Enterprise-Multi-Agent-Engine. Nothing to install.
list_component_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_component_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_component_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_component_problems is provided by the Enterprise-Multi-Agent-Engine MCP server (Mojtaba-Dehghani/Enterprise-Multi-Agent-Engine). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Enterprise-Multi-Agent-Engine, and thousands of servers like it.
This server
Across the catalogue