splitifi_opposing_counsel
Analyze a settlement proposal from opposing counsel: is it fair vs comparable cases, what are the pressure points, and what to counter with.
This record as markdown: /tools/io-github-mysplitifi-splitifi-mcp/splitifi-opposing-counsel.md
What splitifi_opposing_counsel does on Splitifi Intelligence MCP
AI agents call splitifi_opposing_counsel 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 |
|---|---|---|---|
proposal | object | — | Terms of opposing counsel's proposal |
case_facts | object | — | |
jurisdiction | string | Yes |
Parameters from the server's own tool schema.
Why splitifi_opposing_counsel is rated Low
This tool queries the ML-trained court records database to retrieve comparative case outcomes and generates analytical recommendations for settlement strategy. While it reads and processes sensitive legal/financial data (settlement amounts, case outcomes, judge profiles), it performs no mutations, executions, or destructive actions.
From the tool's definition Tool description states 'Analyze a settlement proposal from opposing counsel' and 'what are the pressure points, and what to counter with' — core actions are analyzing, comparing against historical case data, and providing advisory insights.
Attacks that exploit this kind of access
The rule that runs splitifi_opposing_counsel 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_opposing_counsel, this is the rule to start with:
splitifi_opposing_counsel 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_opposing_counsel call is checked against it from then on.
Questions about splitifi_opposing_counsel
Analyze a settlement proposal from opposing counsel: is it fair vs comparable cases, what are the pressure points, and what to counter with. It is categorised as a Read tool in the Splitifi Intelligence MCP MCP Server, which means it retrieves data without modifying state.
splitifi_opposing_counsel accepts 3 parameters: proposal, case_facts, jurisdiction. Required: 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_opposing_counsel: 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_opposing_counsel 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_opposing_counsel 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_opposing_counsel. 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_opposing_counsel 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.
More on Splitifi Intelligence, and thousands of servers like it.
This server
Across the catalogue