List all available custom terminologies. Returns a list of terminologies with their metadata and language pairs.
AI agents call list_terminologies to retrieve information from AWS without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns metadata about existing terminologies without modifying, deleting, or executing any operations. It is a straightforward read/list operation typical of AWS translation or terminology service management, posing minimal risk even if invoked by an AI agent with incorrect parameters.
From the tool's definition Tool name 'list_terminologies' combined with description 'List all available custom terminologies. Returns a list of terminologies with their metadata and language pairs.' indicates a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_terminologies gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS, and nothing reaches the server without passing your rules. This is the rule we recommend for list_terminologies:
{
"version": "1",
"default": "deny",
"tools": {
"list_terminologies": {}
}
} list_terminologies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all available custom terminologies. Returns a list of terminologies with their metadata and language pairs. It is categorised as a Read tool in the AWS MCP Server, which means it retrieves data without modifying state.
Register the AWS MCP server in PolicyLayer and add a rule for list_terminologies: 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 AWS. Nothing to install.
list_terminologies 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_terminologies 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_terminologies. 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_terminologies is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.