data_check_outliers

이상치 탐지

Category Read
Risk class Low
Parameters 00 required

What data_check_outliers does on PM-MCP (Portfolio Management MCP Server)

AI agents call data_check_outliers to retrieve information from PM-MCP (Portfolio Management MCP Server) without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why data_check_outliers needs a policy

Outlier detection is a statistical analysis function that retrieves and examines data to identify unusual values. It produces analytical insights without side effects, data modification, or irreversible actions. This is characteristic of Read category tools. The portfolio management context confirms this is a passive analytics operation used for portfolio evaluation and analysis.

From the tool's definition Tool name 'data_check_outliers' and description '이상치 탐지' (outlier detection in Korean) indicate a data analysis/inspection operation. The tool checks for anomalies in existing data without modifying, deleting, or executing external operations.

Questions about data_check_outliers

What does the data_check_outliers tool do? +

이상치 탐지. It is categorised as a Read tool in the PM-MCP (Portfolio Management MCP Server) MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on data_check_outliers? +

Register the PM-MCP (Portfolio Management MCP Server) MCP server in PolicyLayer and add a rule for data_check_outliers: 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 PM-MCP (Portfolio Management MCP Server). Nothing to install.

What risk level is data_check_outliers? +

data_check_outliers is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit data_check_outliers? +

Yes. Add a rate_limit block to the data_check_outliers 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.

How do I block data_check_outliers completely? +

Set action: deny in the PolicyLayer policy for data_check_outliers. 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.

What MCP server provides data_check_outliers? +

data_check_outliers is provided by the PM-MCP (Portfolio Management MCP Server) MCP server (surplus96/pm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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