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.

SERVERSplitifi Intelligence MCP SOURCEsplitifi-mcp
Low RISK CLASS
Category Read
Parameters 31 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-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.

ParameterTypeRequiredDescription
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.

Questions about splitifi_opposing_counsel

What does the splitifi_opposing_counsel tool do? +

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.

What parameters does splitifi_opposing_counsel accept? +

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.

How do I enforce a policy on splitifi_opposing_counsel? +

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.

What risk level is splitifi_opposing_counsel? +

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

Can I rate-limit splitifi_opposing_counsel? +

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.

How do I block splitifi_opposing_counsel completely? +

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.

What MCP server provides splitifi_opposing_counsel? +

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.

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