Get ratings and reviews for a service.
AI agents call get_ratings to retrieve information from Satring without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves rating and review information for a service. It performs a read-only operation on data with no capability to modify, delete, or trigger external actions. The severity is low because accessing ratings data poses minimal risk to the system or user security; this is typically public or user-accessible information.
From the tool's definition Tool name 'get_ratings' and description 'Get ratings and reviews for a service' indicates retrieval of existing rating/review data with no modification, deletion, or external side effects.
Documented attack patterns abuse exactly the kind of access get_ratings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Satring, and nothing reaches the server without passing your rules. This is the rule we recommend for get_ratings:
{
"version": "1",
"default": "deny",
"tools": {
"get_ratings": {}
}
}get_ratings is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get ratings and reviews for a service. It is categorised as a Read tool in the Satring MCP Server, which means it retrieves data without modifying state.
Register the Satring MCP server in PolicyLayer and add a rule for get_ratings: 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 Satring. Nothing to install.
get_ratings 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_ratings 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_ratings. 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_ratings is provided by the Satring MCP server (toadlybroodle/satring). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Satring, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 Satring tools catalogued and risk-classified — across an index of 43,000+ MCP servers.