This record as markdown: /tools/openclaw/messages-read.md
What messages_read does on OpenClaw
AI agents call messages_read to retrieve information from OpenClaw without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why messages_read is rated Low
This tool retrieves historical conversation data without modifying, deleting, or executing any operations. It is a straightforward query operation that fetches existing messages from a conversation thread. No destructive, write, or execute capabilities are present.
From the tool's definition Tool name contains 'read' and description states 'Read recent messages' - explicitly a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs messages_read safely
PolicyLayer is an MCP gateway: it sits between your AI agents and OpenClaw, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For messages_read, this is the rule to start with:
messages_read is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect OpenClaw, apply this rule, and every messages_read call is checked against it from then on.
Questions about messages_read
Read recent messages for one OpenClaw conversation. It is categorised as a Read tool in the OpenClaw MCP Server, which means it retrieves data without modifying state.
Register the OpenClaw MCP server in PolicyLayer and add a rule for messages_read: 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 OpenClaw. Nothing to install.
messages_read is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the messages_read 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.
Set action: deny in the PolicyLayer policy for messages_read. 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.
messages_read is provided by the OpenClaw MCP server (openclaw). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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