AI agents call suggest_solutions to retrieve information from Rootly without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Without a description, confidence is moderate. The name 'suggest' implies providing information rather than executing actions or modifying state. In the context of an incident management platform (Rootly), suggesting solutions would typically be a read-only operation that queries existing incidents and knowledge to generate output, with no side effects on the system.
From the tool's definition Tool name 'suggest_solutions' with empty description provides no explicit indication of data modification, deletion, execution, or financial operations.
Documented attack patterns abuse exactly the kind of access suggest_solutions gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Rootly, and nothing reaches the server without passing your rules. This is the rule we recommend for suggest_solutions:
{
"version": "1",
"default": "deny",
"tools": {
"suggest_solutions": {}
}
}suggest_solutions is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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suggest_solutions. It is categorised as a Read tool in the Rootly MCP Server, which means it retrieves data without modifying state.
Register the Rootly MCP server in PolicyLayer and add a rule for suggest_solutions: 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 Rootly. Nothing to install.
suggest_solutions 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 suggest_solutions 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 suggest_solutions. 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.
suggest_solutions is provided by the Rootly MCP server (https://mcp.rootly.com/sse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Rootly, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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20 Rootly tools catalogued and risk-classified — across an index of 43,000+ MCP servers.