get_query_results · Amazon Location Service MCP Server MCP

WHAT IT DOES

What get_query_results does on Amazon Location Service MCP Server

AI agents call get_query_results to retrieve information from Amazon Location Service MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why get_query_results needs a policy

Based on the tool name following typical 'get' conventions for read operations, this tool appears to retrieve query results without modifying or deleting data. However, confidence is moderate due to the completely empty description, which prevents verification of actual behavior (e.g., whether it executes queries with side effects or merely fetches results).

From the tool's definition Tool name 'get_query_results' indicates a query result retrieval operation. The description is empty, but the name itself strongly suggests a data retrieval function with no side effects.

Documented attack patterns abuse exactly the kind of access get_query_results gives an agent:

POLICY

How to control get_query_results

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Location Service MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_query_results:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_query_results": {}
  }
}

get_query_results is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Amazon Location Service MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

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All 805 Amazon Location Service MCP Server tools →

Read tools on other servers

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about get_query_results

What does the get_query_results tool do? +

get_query_results. It is categorised as a Read tool in the Amazon Location Service MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_query_results? +

Register the Amazon Location Service MCP Server MCP server in PolicyLayer and add a rule for get_query_results: 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 Amazon Location Service MCP Server. Nothing to install.

What risk level is get_query_results? +

get_query_results is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_query_results? +

Yes. Add a rate_limit block to the get_query_results 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.

How do I block get_query_results completely? +

Set action: deny in the PolicyLayer policy for get_query_results. 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.

What MCP server provides get_query_results? +

get_query_results is provided by the Amazon Location Service MCP Server MCP server (awslabs.aws-location-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Location Service MCP Server tool call.

Start from Amazon Location Service MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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805 Amazon Location Service MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.