This record as markdown: /tools/openclaw/reasoning.md
What reasoning does on OpenClaw
AI agents use reasoning to create or update resources in OpenClaw, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your OpenClaw environment.
Why reasoning is rated Medium
The tool modifies a configuration/state setting (reasoning output mode), which is a reversible write operation. It doesn't retrieve data, execute code, or perform destructive/financial actions. Severity is low as it only changes an output display setting. Confidence is moderate because the description is brief and the full impact is unclear.
From the tool's definition Toggle reasoning output (on|off|stream)
Attacks that exploit this kind of access
The rule that runs reasoning 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 reasoning, this is the rule to start with:
reasoning stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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 reasoning call is checked against it from then on.
Questions about reasoning
Toggle reasoning output (on|off|stream). It is categorised as a Write tool in the OpenClaw MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the OpenClaw MCP server in PolicyLayer and add a rule for reasoning: 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.
reasoning is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the reasoning 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 reasoning. 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.
reasoning 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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