splitifi_edgar_screen_defendant
Screen a defendant company's financial health before filing. Returns Altman Z score, distress zone, win probability, dismissal risk, collectibility score, and duration forecast for the specified case type.
This record as markdown: /tools/io-github-mysplitifi-splitifi-mcp/splitifi-edgar-screen-defendant.md
What splitifi_edgar_screen_defendant does on Splitifi Intelligence MCP
AI agents call splitifi_edgar_screen_defendant 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_type | string | Yes | Litigation category (commercial, employment, insurance, healthcare, masstort) |
company_name | string | Yes | Defendant company name |
Parameters from the server's own tool schema.
Why splitifi_edgar_screen_defendant is rated Low
This tool retrieves and queries financial health metrics and predictive analytics from ML models trained on court records and likely SEC EDGAR filings. While the sensitivity of the defendant financial data and predictions is high—potentially enabling strategic litigation decisions or financial targeting—the tool itself performs no write, execute, delete, or financial operation. It is fundamentally a Read operation.
From the tool's definition Tool description indicates it 'returns' screening data (Altman Z score, distress zone, win probability, dismissal risk, collectibility score, duration forecast) with no indication of modification, deletion, or financial transactions.
Attacks that exploit this kind of access
The rule that runs splitifi_edgar_screen_defendant 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_screen_defendant, this is the rule to start with:
splitifi_edgar_screen_defendant 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_screen_defendant call is checked against it from then on.
Questions about splitifi_edgar_screen_defendant
Screen a defendant company's financial health before filing. Returns Altman Z score, distress zone, win probability, dismissal risk, collectibility score, and duration forecast for the specified case type. It is categorised as a Read tool in the Splitifi Intelligence MCP MCP Server, which means it retrieves data without modifying state.
splitifi_edgar_screen_defendant accepts 2 parameters: case_type, company_name. Required: case_type, company_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_screen_defendant: 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_screen_defendant 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_screen_defendant 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_screen_defendant. 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_screen_defendant 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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