Low Risk

handle_diagnose_locks

handle_diagnose_locks

How to control handle_diagnose_locks ↓

What handle_diagnose_locks does on Redshift Utils

AI agents call handle_diagnose_locks to retrieve information from Redshift Utils without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why handle_diagnose_locks needs a policy

The name implies diagnosing (reading/inspecting) lock contention or blocking queries in the database. Based on sibling tools like 'handle_check_cluster_health', 'handle_inspect_table', and 'handle_monitor_workload', this server appears oriented toward diagnostics and monitoring rather than mutations. However, the empty description lowers confidence — it could potentially resolve or kill locks (Execute).

From the tool's definition Tool name 'handle_diagnose_locks' suggests querying/inspecting lock state in a Redshift cluster. Description is empty and uninformative.

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

How to control handle_diagnose_locks

PolicyLayer is an MCP gateway — it sits between your AI agents and Redshift Utils, and nothing reaches the server without passing your rules. This is the rule we recommend for handle_diagnose_locks:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "handle_diagnose_locks": {}
  }
}

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

  1. Create a free account and register Redshift Utils — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about handle_diagnose_locks

What does the handle_diagnose_locks tool do? +

handle_diagnose_locks. It is categorised as a Read tool in the Redshift Utils MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on handle_diagnose_locks? +

Register the Redshift Utils MCP server in PolicyLayer and add a rule for handle_diagnose_locks: 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 Redshift Utils. Nothing to install.

What risk level is handle_diagnose_locks? +

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

Can I rate-limit handle_diagnose_locks? +

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

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

handle_diagnose_locks is provided by the Redshift Utils MCP server (vinodismyname/redshift-utils-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Redshift Utils tool call.

Start from Redshift Utils, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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