splitifi_judge_comparable
Get outcome distributions for cases similar to this one before a specific judge.
This record as markdown: /tools/io-github-mysplitifi-splitifi-mcp/splitifi-judge-comparable.md
What splitifi_judge_comparable does on Splitifi Intelligence MCP
AI agents call splitifi_judge_comparable 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 |
|---|---|---|---|
filters | object | — | |
judge_id | string | Yes | |
case_type | string | — | |
jurisdiction | string | Yes |
Parameters from the server's own tool schema.
Why splitifi_judge_comparable is rated Low
This tool queries an existing ML model database to retrieve and display outcome distributions for comparable cases. It has no side effects—it neither modifies data, executes code, deletes records, nor moves money. It is purely informational, delivering predictive insights based on historical court records.
From the tool's definition Tool name 'splitifi_judge_comparable' and description 'Get outcome distributions for cases similar to this one before a specific judge' indicate retrieval of historical data and predictive analytics.
Attacks that exploit this kind of access
The rule that runs splitifi_judge_comparable 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_judge_comparable, this is the rule to start with:
splitifi_judge_comparable 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_judge_comparable call is checked against it from then on.
Questions about splitifi_judge_comparable
Get outcome distributions for cases similar to this one before a specific judge. It is categorised as a Read tool in the Splitifi Intelligence MCP MCP Server, which means it retrieves data without modifying state.
splitifi_judge_comparable accepts 4 parameters: filters, judge_id, case_type, jurisdiction. Required: judge_id, 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_judge_comparable: 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_judge_comparable 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_judge_comparable 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_judge_comparable. 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_judge_comparable 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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