execute_log_insights_query

WHAT IT DOES

What execute_log_insights_query does on AWS Step Functions Tool MCP Server

AI agents invoke execute_log_insights_query to trigger actions in AWS Step Functions Tool 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.

THE RISK

High Risk

Why execute_log_insights_query needs a policy

The tool executes queries (indicated by 'execute' in the name), which is an Execute category action. CloudWatch Logs Insights query execution has a high severity because it can access sensitive application logs and operational data, and malicious queries could consume significant resources or extract confidential information.

From the tool's definition Tool name 'execute_log_insights_query' indicates it executes CloudWatch Logs Insights queries. Execution of arbitrary queries against log data can retrieve sensitive information, trigger side effects via log analysis, or interact with external systems…

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

POLICY

How to control execute_log_insights_query

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Step Functions Tool MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_log_insights_query:

policy.json

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

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.

Create a free account and register AWS Step Functions Tool 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.

RATE-LIMIT THIS TOOL →

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EXPLORE

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All 805 AWS Step Functions Tool MCP Server tools →

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Go deeper

Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in AWS Step Functions Tool MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
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 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 Step Functions Tool 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 Step Functions Tool 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 Step Functions Tool 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 Step Functions Tool MCP Server MCP server (awslabs.stepfunctions-tool-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 AWS Step Functions Tool MCP Server tool call.

Start from AWS Step Functions Tool MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →

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805 AWS Step Functions Tool MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.