splitifi_predict_child_support

Predict child support obligation using jurisdiction-specific guidelines and ML models.

SERVERSplitifi Intelligence MCP SOURCEsplitifi-mcp
Low RISK CLASS
Category Read
Parameters 22 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-mysplitifi-splitifi-mcp/splitifi-predict-child-support.md

What splitifi_predict_child_support does on Splitifi Intelligence MCP

AI agents call splitifi_predict_child_support to retrieve information from Splitifi Intelligence MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
case_facts object Yes income_payer, income_recipient, num_children, custody_arrangement, childcare_costs, health_insurance
jurisdiction string Yes

Parameters from the server's own tool schema.

Why splitifi_predict_child_support is rated Low

This tool reads from pre-trained ML models and returns predictions based on input parameters. Although child support predictions have significant real-world consequences (medium severity due to potential impact on vulnerable parties and financial obligations), the tool itself performs only a Read operation — it queries data and returns inferences without creating, modifying, deleting, or executing external systems.

From the tool's definition Tool description states 'Predict child support obligation' — a query operation that retrieves ML model predictions from trained models on court records.

Questions about splitifi_predict_child_support

What does the splitifi_predict_child_support tool do? +

Predict child support obligation using jurisdiction-specific guidelines and ML models. It is categorised as a Read tool in the Splitifi Intelligence MCP MCP Server, which means it retrieves data without modifying state.

What parameters does splitifi_predict_child_support accept? +

splitifi_predict_child_support accepts 2 parameters: case_facts, jurisdiction. Required: case_facts, jurisdiction. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on splitifi_predict_child_support? +

Register the Splitifi Intelligence MCP server in PolicyLayer and add a rule for splitifi_predict_child_support: 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 Splitifi Intelligence MCP. Nothing to install.

What risk level is splitifi_predict_child_support? +

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

Can I rate-limit splitifi_predict_child_support? +

Yes. Add a rate_limit block to the splitifi_predict_child_support 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 splitifi_predict_child_support completely? +

Set action: deny in the PolicyLayer policy for splitifi_predict_child_support. 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 splitifi_predict_child_support? +

splitifi_predict_child_support is provided by the Splitifi Intelligence MCP server (splitifi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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