AI agents call get_scaling_strategy to retrieve information from Tok 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 architectural scaling recommendations based on the current architecture. It generates advisory information without making changes to systems, executing commands, or affecting resources.
From the tool's definition The tool name 'get_scaling_strategy' and description indicate it proposes scaling strategies and provides response plans for traffic increase scenarios.
Attacks that exploit this kind of access
현재 아키텍처에 대한 확장 전략을 제안합니다. 트래픽 증가 시나리오별 대응 방안을 제공합니다. It is categorised as a Read tool in the Tok MCP Server, which means it retrieves data without modifying state.
Register the Tok MCP server in PolicyLayer and add a rule for get_scaling_strategy: 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 Tok. Nothing to install.
get_scaling_strategy 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 get_scaling_strategy 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 get_scaling_strategy. 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.
get_scaling_strategy is provided by the Tok MCP server (seongminjaden/tok_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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