Analyze your AI spending patterns and return prioritized cost-reduction recommendations — such as unused subscriptions, cheaper model substitutes, and token-efficiency improvements.
AI agents call cost_optimize to retrieve information from Scan Your Ai Toolkit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads/queries existing spending data and AI configuration to generate reports and suggestions. It does not execute changes, delete data, move money, or trigger external operations. The output is advisory recommendations only. No side effects or irreversible actions are performed.
From the tool's definition Tool description states it 'Analyze your AI spending patterns and return prioritized cost-reduction recommendations' — a purely analytical operation that retrieves and examines data without making changes.
Attacks that exploit this kind of access
Analyze your AI spending patterns and return prioritized cost-reduction recommendations — such as unused subscriptions, cheaper model substitutes, and token-efficiency improvements. It is categorised as a Read tool in the Scan Your Ai Toolkit MCP Server, which means it retrieves data without modifying state.
Register the Scan Your Ai Toolkit MCP server in PolicyLayer and add a rule for cost_optimize: 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 Scan Your Ai Toolkit. Nothing to install.
cost_optimize 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 cost_optimize 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 cost_optimize. 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.
cost_optimize is provided by the Scan Your Ai Toolkit MCP server (sakthivelchan89/scan_your_ai_toolkit). 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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