Recommend the cheapest model combination that meets a quality bar.
AI agents call cheapest_route to retrieve information from OpenClaw Consensus without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes cost/quality trade-off data to return recommendations. It does not execute code, modify state, create or delete resources, or commit financial transactions. While it may *inform* financial decisions downstream, the tool itself only performs data analysis and returns recommendations—a classic Read operation.
From the tool's definition Tool recommends (returns) a cheapest model combination without executing, modifying, or deleting anything. The verb 'recommend' and function of providing routing suggestions indicates a query/advisory operation with no side effects.
Attacks that exploit this kind of access
Recommend the cheapest model combination that meets a quality bar. It is categorised as a Read tool in the OpenClaw Consensus MCP Server, which means it retrieves data without modifying state.
Register the OpenClaw Consensus MCP server in PolicyLayer and add a rule for cheapest_route: 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 Consensus. Nothing to install.
cheapest_route 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 cheapest_route 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 cheapest_route. 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.
cheapest_route is provided by the OpenClaw Consensus MCP server (MICONNM/openclaw-consensus-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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