talent_litigation_exposure
Estimates litigation exposure risk for CHROs by analyzing past employee lawsuits, settlement amounts, and industry benchmarks. Inputs include company location, industry code, and employee count range. Returns exposure score, average settlement amounts, lawsuit frequency trends, and risk factors. ...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/talent-litigation-exposure.md
What talent_litigation_exposure does on Mcp Knowledge
AI agents call talent_litigation_exposure to retrieve information from Mcp Knowledge 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 |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
industry_code | string | Yes | NAICS industry code (e.g., '541511' for IT services) |
employee_count | number | — | Current number of employees |
lookback_years | number | — | Number of years to analyze |
company_location | string | Yes | State or region where company operates (e.g., 'CA', 'New York') |
Parameters from the server's own tool schema.
Why talent_litigation_exposure is rated Low
This tool retrieves and analyzes existing data (historical lawsuits, settlement amounts, benchmarks) to produce a risk assessment report. It does not modify, delete, or execute anything — it is purely a read/query operation. Severity is medium because the output is sensitive legal and financial risk data that could be misused if exposed to unauthorized parties or used to manipulate HR/legal strategy.
From the tool's definition Estimates litigation exposure risk...analyzing past employee lawsuits, settlement amounts, and industry benchmarks...Returns exposure score, average settlement amounts, lawsuit frequency trends, and risk factors.
Attacks that exploit this kind of access
The rule that runs talent_litigation_exposure safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For talent_litigation_exposure, this is the rule to start with:
talent_litigation_exposure 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 Mcp Knowledge, apply this rule, and every talent_litigation_exposure call is checked against it from then on.
Questions about talent_litigation_exposure
Estimates litigation exposure risk for CHROs by analyzing past employee lawsuits, settlement amounts, and industry benchmarks. Inputs include company location, industry code, and employee count range. Returns exposure score, average settlement amounts, lawsuit frequency trends, and risk factors. Ideal for legal risk assessment, HR strategy planning, and board-level reporting. Pass async:true to avoid timeout. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
talent_litigation_exposure accepts 5 parameters: async, industry_code, employee_count, lookback_years, company_location. Required: industry_code, company_location. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for talent_litigation_exposure: 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 Mcp Knowledge. Nothing to install.
talent_litigation_exposure 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 talent_litigation_exposure 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 talent_litigation_exposure. 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.
talent_litigation_exposure is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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