execute_log_insights_query · AWS HealthOmics MCP Server MCP

WHAT IT DOES

What execute_log_insights_query does on AWS HealthOmics MCP Server

AI agents invoke execute_log_insights_query to trigger actions in AWS HealthOmics MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why execute_log_insights_query needs a policy

The 'execute_' prefix and the nature of log querying operations classify this as Execute rather than Read. Log queries, particularly in AWS CloudWatch Insights, support complex query languages that can aggregate, filter, and analyze data across potentially sensitive logs. If the query execution permits complex operations or has uncontrolled side effects, this poses moderate to high risk.

From the tool's definition Tool name is 'execute_log_insights_query', which explicitly contains the verb 'execute' and references querying logs.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_log_insights_query Rate-limited

execute_log_insights_query stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_log_insights_query": {
      "limits": [
        {
          "counter": "execute_log_insights_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AWS HealthOmics MCP Server, so you can run agents against it safely.

FAQ

Questions about execute_log_insights_query

What does the execute_log_insights_query tool do? +

execute_log_insights_query. It is categorised as a Execute tool in the AWS HealthOmics MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_log_insights_query? +

Register the AWS HealthOmics MCP Server MCP server in PolicyLayer and add a rule for execute_log_insights_query: 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 HealthOmics MCP Server. Nothing to install.

What risk level is execute_log_insights_query? +

execute_log_insights_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_log_insights_query? +

Yes. Add a rate_limit block to the execute_log_insights_query 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 execute_log_insights_query completely? +

Set action: deny in the PolicyLayer policy for execute_log_insights_query. 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 execute_log_insights_query? +

execute_log_insights_query is provided by the AWS HealthOmics MCP Server MCP server (awslabs.aws-healthomics-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.