MCP Tool Reference High Risk

execute_log_insights_query

Run CloudWatch Logs Insights queries

Part of the AWS MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

WHEN AI AGENTS USE THIS TOOL

AI agents invoke execute_log_insights_query to trigger processes or run actions in AWS. Execute operations can have side effects beyond the immediate call — triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

WHY ENFORCE A POLICY ON EXECUTE_LOG_INSIGHTS_QUERY

execute_log_insights_query can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

RECOMMENDED POLICY

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

aws.yaml
tools:
  execute_log_insights_query:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full AWS policy for all 55 tools.

DETAILS

Tool Name

execute_log_insights_query

Category

Execute

MCP Server

AWS MCP Servers

Risk Level

High

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FREQUENTLY ASKED QUESTIONS

What does the execute_log_insights_query tool do?

Run CloudWatch Logs Insights queries. It is categorised as a Execute tool in the AWS MCP Servers, 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?

Add a rule in your Intercept YAML policy under the tools section for execute_log_insights_query. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS MCP server.

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 Intercept 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 Intercept 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 MCP server (awslabs/mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

ENFORCE POLICIES ON AWS

Open source. One binary. Zero dependencies.