splitifi_edgar_role_analysis
Analyze the financial mismatch between plaintiff and defendant in a case. Returns plaintiff and defendant financial health, mismatch score, and role-separated outcome probabilities.
This record as markdown: /tools/io-github-mysplitifi-splitifi-mcp/splitifi-edgar-role-analysis.md
What splitifi_edgar_role_analysis does on Splitifi Intelligence MCP
AI agents call splitifi_edgar_role_analysis 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_id | string | — | Optional case ID |
case_type | string | — | Optional litigation category |
defendant_name | string | — | Optional defendant company name |
plaintiff_name | string | — | Optional plaintiff company name |
Parameters from the server's own tool schema.
Why splitifi_edgar_role_analysis is rated Low
This is a Read operation: it retrieves and queries predictive insights without side effects. However, severity is rated 'high' rather than 'low' because the outputs (financial health analysis, outcome probability predictions) could directly influence consequential decisions in litigation—an AI agent could use this to make biased case assessments, settlement recommendations, or resource allocation decisions that…
From the tool's definition Tool description states it 'returns' analysis of 'plaintiff and defendant financial health, mismatch score, and outcome probabilities'—purely retrieval of predictions from pre-trained ML models.
Attacks that exploit this kind of access
The rule that runs splitifi_edgar_role_analysis 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_edgar_role_analysis, this is the rule to start with:
splitifi_edgar_role_analysis 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_edgar_role_analysis call is checked against it from then on.
Questions about splitifi_edgar_role_analysis
Analyze the financial mismatch between plaintiff and defendant in a case. Returns plaintiff and defendant financial health, mismatch score, and role-separated outcome probabilities. It is categorised as a Read tool in the Splitifi Intelligence MCP MCP Server, which means it retrieves data without modifying state.
splitifi_edgar_role_analysis accepts 4 parameters: case_id, case_type, defendant_name, plaintiff_name. 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_edgar_role_analysis: 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_edgar_role_analysis 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_edgar_role_analysis 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_edgar_role_analysis. 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_edgar_role_analysis 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