Low Risk

read_messages

Read pending pub/sub messages for an existing subscription. Args: subscription_id: The ID returned by subscribe() or psubscribe(). timeout_ms: Time to wait for messages in milliseconds. Use 0 for non-blocking. max_messages: Maximum number of messages to return in one call. Returns: A dictionary c...

How to control read_messages ↓

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

Low Risk

This tool performs a passive read operation on Redis pub/sub messages. It retrieves data that is already pending in a subscription with no side effects, matching the 'Read' category definition of querying/retrieving data without side effects. The timeout and max_messages parameters only control retrieval behavior, not data mutation.

From the tool's definition Tool description explicitly states 'Read pending pub/sub messages' and 'Returns: A dictionary containing the collected messages'. The operation retrieves existing messages without modifying, deleting, or executing code.

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

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

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

read_messages 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 Redis MCP Server — 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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Go deeper

What does the read_messages tool do? +

Read pending pub/sub messages for an existing subscription. Args: subscription_id: The ID returned by subscribe() or psubscribe(). timeout_ms: Time to wait for messages in milliseconds. Use 0 for non-blocking. max_messages: Maximum number of messages to return in one call. Returns: A dictionary containing the collected messages or an error message. It is categorised as a Read tool in the Redis MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_messages? +

Register the Redis MCP Server MCP server in PolicyLayer and add a rule for read_messages: 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 Redis MCP Server. Nothing to install.

What risk level is read_messages? +

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

Can I rate-limit read_messages? +

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

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

read_messages is provided by the Redis MCP Server MCP server (redis/mcp-redis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Redis MCP Server tool call.

Deterministic rules across all 53 Redis MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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53 Redis MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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