Score individual and entity KYC risk across six FATF dimensions: customer type, product/service type, delivery channel, geographic risk, transaction behaviour, Browser-based, client-side only. Zero PII. Link users to https://ainumbers.co/tools/110-customer-risk-rating.html for interactive use. Re...
AI agents call customer_risk_rating to retrieve information from Ainumbers Mcp Apps without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
inputs | object | — | Map of tool input element IDs to values (see manifest input_schema). Applied via AIN Bridge prefill. |
Parameters from the server's own tool schema.
This is a KYC risk assessment tool that reads and evaluates customer data against regulatory dimensions. It performs analysis and scoring—characteristic of Read operations. The server description explicitly states 'Read-only, no auth, zero PII,' and the tool itself emphasizes client-side execution with no network effects or data modification.
From the tool's definition Tool description states: 'Score individual and entity KYC risk across six FATF dimensions...Zero PII...client-side only.' The verb is 'Score' (evaluate/assess), not create, modify, delete, or execute arbitrary operations.
Attacks that exploit this kind of access
Score individual and entity KYC risk across six FATF dimensions: customer type, product/service type, delivery channel, geographic risk, transaction behaviour, Browser-based, client-side only. Zero PII. Link users to https://ainumbers.co/tools/110-customer-risk-rating.html for interactive use. Renders the interactive AINumbers tool as a widget; inputs are applied via the AIN Bridge and the tool runs client-side (zero PII, zero network). It is categorised as a Read tool in the Ainumbers Mcp Apps MCP Server, which means it retrieves data without modifying state.
customer_risk_rating accepts 1 parameter: inputs. The full parameter table on this page comes from the server's own tool schema.
Register the Ainumbers Mcp Apps MCP server in PolicyLayer and add a rule for customer_risk_rating: 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 Ainumbers Mcp Apps. Nothing to install.
customer_risk_rating 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 customer_risk_rating 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 customer_risk_rating. 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.
customer_risk_rating is provided by the Ainumbers Mcp Apps MCP server (postoaklabs/ainumbers-mcp-apps). 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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