splitifi_predict_child_support
Predict child support obligation using jurisdiction-specific guidelines and ML models.
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.
| Parameter | Type | Required | Description |
|---|---|---|---|
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.
Attacks that exploit this kind of access
The rule that runs splitifi_predict_child_support safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Splitifi Intelligence MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For splitifi_predict_child_support, this is the rule to start with:
splitifi_predict_child_support is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Splitifi Intelligence MCP, apply this rule, and every splitifi_predict_child_support call is checked against it from then on.
Questions about splitifi_predict_child_support
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.
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.
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.
splitifi_predict_child_support 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 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.
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.
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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